{"meta":{"query_hash":"2236876bc16c","filters":{"venue":"SoftwareX"},"cohort_total":42,"direct_labels_cover":1,"predictions_cover":42,"exported":42,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/2236876bc16c","api":"https://metacan.xera.ac/api/v1/cohort?venue=SoftwareX"},"results":[{"id":"W2766766984","doi":"10.1016/j.softx.2017.10.001","title":"HYDROSCAPE: A new versatile software program for evaluating contaminant transport in groundwater","year":2017,"lang":"en","type":"article","venue":"SoftwareX","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Executable; Hydrogeology; Upload; Computational science; Software; Heuristic; Feature (linguistics); Interface (matter); MATLAB; Estimator; Simple (philosophy); Graphics; Domain (mathematical analysis); Data mining; Algorithm; Geology; Computer graphics (images); Programming language; Parallel computing; Operating system; Mathematics","score_opus":0.03249774445574991,"score_gpt":0.30997414411027874,"score_spread":0.2774763996545288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766766984","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029025052,0.00019453483,0.69044906,0.00036951058,0.00014975494,0.00034371624,0.019908981,0.24148045,0.01807894],"genre_scores_gemma":[0.20050304,0.0005394994,0.71037716,0.00036830243,0.00009975249,0.0020862492,0.026838154,0.036538858,0.022649026],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997098,0.000038350405,0.00003178669,0.00005581878,0.00014316423,0.000021020402],"domain_scores_gemma":[0.99920386,0.00038097356,0.000087571745,0.000085618645,0.00019998572,0.00004202067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007358957,0.00087803905,0.0006400034,0.0010900794,0.00040471827,0.000785117,0.0016478521,0.00049954315,0.02919549],"category_scores_gemma":[0.0025247964,0.00047012567,0.00049447594,0.0008910368,0.00029404965,0.001422737,0.001297358,0.00072299724,0.0041996087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005150039,0.00027810666,0.010416369,0.0017746113,0.00025695763,0.000880742,0.00051539706,0.11456263,0.06069279,0.01757637,0.35246342,0.44006753],"study_design_scores_gemma":[0.00030677754,0.00017872754,0.0061497362,0.0001426542,0.00008439054,0.00065545156,0.00011817069,0.724526,0.057527382,0.010768715,0.19935326,0.00018887495],"about_ca_topic_score_codex":0.0039691753,"about_ca_topic_score_gemma":0.0047372165,"teacher_disagreement_score":0.02919549,"about_ca_system_score_codex":0.00037474275,"about_ca_system_score_gemma":0.0012906964,"threshold_uncertainty_score":0.09766865},"labels":[],"label_agreement":null},{"id":"W2789060699","doi":"10.1016/j.softx.2018.01.002","title":"OpenIPSL: Open-Instance Power System Library — Update 1.5 to “iTesla Power Systems Library (iPSL): A Modelica library for phasor time-domain simulations”","year":2018,"lang":"en","type":"article","venue":"SoftwareX","topic":"Modeling and Simulation Systems","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"FP7 Ideas: European Research Council; U.S. Department of Energy; Seventh Framework Programme; Georgian National Science Foundation; Government of Canada; National Science Foundation","keywords":"Modelica; Phasor; Computer science; Power (physics); Domain (mathematical analysis); Electric power system; Simulation; Mathematics; Physics","score_opus":0.019505976242899306,"score_gpt":0.26054155482582436,"score_spread":0.24103557858292507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789060699","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013306667,0.000517864,0.7123393,0.00045779595,0.00051404524,0.00012473145,0.010457041,0.24852245,0.025736025],"genre_scores_gemma":[0.061035022,0.002418133,0.47856036,0.0020418805,0.000788674,0.0009905314,0.13786726,0.22646058,0.08983758],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99830437,0.0003156753,0.00013719694,0.0001955916,0.0009023293,0.00014486726],"domain_scores_gemma":[0.99772316,0.00052310055,0.00012802564,0.00067925634,0.0008120072,0.00013446795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017064835,0.0015043067,0.0010903566,0.0019253293,0.0005989208,0.0035514443,0.0049791504,0.0015317409,0.07404861],"category_scores_gemma":[0.00613257,0.0015609359,0.0015208733,0.0019002417,0.0005025539,0.0045125573,0.0023556096,0.004375235,0.059475683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031227485,0.0001226909,0.0009388472,0.0010213644,0.00012675585,0.00026482966,0.000287776,0.026659561,0.0044220905,0.044657122,0.67875624,0.24243036],"study_design_scores_gemma":[0.0001365207,0.00004179464,0.00032679448,0.00017056074,0.000038580838,0.00026863773,0.00002597153,0.06560928,0.009410312,0.017379932,0.9065147,0.00007698157],"about_ca_topic_score_codex":0.0033659616,"about_ca_topic_score_gemma":0.0031379994,"teacher_disagreement_score":0.07404861,"about_ca_system_score_codex":0.0012062473,"about_ca_system_score_gemma":0.0015711437,"threshold_uncertainty_score":0.24771726},"labels":[],"label_agreement":null},{"id":"W2883420415","doi":"10.1016/j.softx.2018.07.002","title":"From source code to publication: Code Diary, an automatic documentation parser for SAS","year":2018,"lang":"en","type":"article","venue":"SoftwareX","topic":"SAS software applications and methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Documentation; Computer science; Internal documentation; Source code; Code (set theory); Parsing; Code review; Programming language; Software documentation; Software; Software engineering; Static program analysis; Software development; Software development process; Set (abstract data type); Software construction","score_opus":0.02873444271922075,"score_gpt":0.32877860742008835,"score_spread":0.3000441647008676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883420415","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005288415,0.0003924636,0.4129506,0.0029452166,0.0014628042,0.0021122748,0.08950249,0.46964473,0.015700992],"genre_scores_gemma":[0.025414435,0.000772881,0.5934252,0.0015387404,0.0005516777,0.004675098,0.08567656,0.2553831,0.03256223],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99094677,0.0024570385,0.00255907,0.0014234734,0.002362608,0.00025113244],"domain_scores_gemma":[0.9104556,0.042961635,0.008208001,0.012647072,0.023431709,0.002296037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018357214,0.0014608281,0.0008822023,0.005068037,0.0013221835,0.004279826,0.0020054986,0.0012538969,0.056799363],"category_scores_gemma":[0.099339396,0.0021985895,0.0011268385,0.0038634643,0.0009007852,0.0056037093,0.0036594446,0.0041316897,0.052325077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033628673,0.00008970592,0.002849424,0.0011318764,0.000060916573,0.00031024223,0.0012657435,0.000674304,0.0046503902,0.005214756,0.77227736,0.21113889],"study_design_scores_gemma":[0.00027371565,0.00011172317,0.0042273207,0.0007903113,0.000050941366,0.00046470246,0.00036297055,0.008242568,0.015391179,0.009338365,0.96048355,0.0002627039],"about_ca_topic_score_codex":0.0025314847,"about_ca_topic_score_gemma":0.0036373308,"teacher_disagreement_score":0.056799363,"about_ca_system_score_codex":0.0012186551,"about_ca_system_score_gemma":0.007980856,"threshold_uncertainty_score":0.19001281},"labels":[],"label_agreement":null},{"id":"W2893384527","doi":"10.1016/j.softx.2018.08.004","title":"Shk-9: A new tool in approach of glycoprotein annotation","year":2018,"lang":"en","type":"article","venue":"SoftwareX","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Annotation; Computer science; Variety (cybernetics); Software; String (physics); Data science; Software engineering; Programming language; Artificial intelligence","score_opus":0.013524891382668677,"score_gpt":0.2800303265881217,"score_spread":0.26650543520545306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893384527","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02673224,0.0012205219,0.5192943,0.0009399398,0.000310342,0.00050338847,0.10130352,0.34022024,0.009475463],"genre_scores_gemma":[0.06796013,0.001317487,0.69810355,0.0006681642,0.000103074555,0.0016295813,0.1958121,0.025098715,0.009307194],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985013,0.0002577356,0.00039460725,0.0003890159,0.00037654224,0.00008082399],"domain_scores_gemma":[0.9972717,0.0016346378,0.00022445885,0.0004178314,0.00028237342,0.000168987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025220648,0.0014167507,0.0011168219,0.004690265,0.00088992744,0.0026276733,0.00219544,0.001022566,0.015770538],"category_scores_gemma":[0.006550374,0.0009077646,0.00138893,0.004405903,0.000554029,0.003464329,0.0031744766,0.0019476125,0.009338352],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042445846,0.0006195167,0.018888269,0.005364775,0.0007695392,0.0018808664,0.0016933021,0.0054767583,0.065287426,0.029020729,0.2776992,0.58905506],"study_design_scores_gemma":[0.00077516586,0.00045761903,0.016502827,0.00074856554,0.0003779129,0.0030245592,0.00075231993,0.07835669,0.104223065,0.054364838,0.73994905,0.00046734913],"about_ca_topic_score_codex":0.0012863048,"about_ca_topic_score_gemma":0.00151529,"teacher_disagreement_score":0.015770538,"about_ca_system_score_codex":0.000698405,"about_ca_system_score_gemma":0.0014865027,"threshold_uncertainty_score":0.05275768},"labels":[],"label_agreement":null},{"id":"W2935802900","doi":"10.1016/j.softx.2019.04.002","title":"Itinerum: The open smartphone travel survey platform","year":2019,"lang":"en","type":"article","venue":"SoftwareX","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; Canada Research Chairs; Public Health Agency of Canada","keywords":"Computer science; Smartphone application; Human–computer interaction; World Wide Web; Multimedia","score_opus":0.05713576716111084,"score_gpt":0.3356352439009643,"score_spread":0.2784994767398534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2935802900","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06963434,0.0023678485,0.22562598,0.0033239636,0.0018712307,0.008604797,0.19026202,0.36899927,0.1293106],"genre_scores_gemma":[0.35973296,0.003434067,0.24135028,0.004473999,0.0012538674,0.018731087,0.18761353,0.028514154,0.15489598],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99941957,0.00015988658,0.000058306734,0.00009182809,0.00017252435,0.00009802066],"domain_scores_gemma":[0.9981876,0.00047769595,0.00015302845,0.00028245006,0.00045286212,0.00044631847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014174675,0.00090643484,0.00059481204,0.0015409192,0.0004689669,0.0012594705,0.0011391883,0.0006307218,0.04638932],"category_scores_gemma":[0.0038806845,0.000534421,0.00058082835,0.0009518008,0.00023898903,0.0020416705,0.0031348956,0.0008842971,0.024625065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022724334,0.00036004596,0.011240798,0.0012980261,0.00011937846,0.0005819557,0.0025364212,0.00058839744,0.009552073,0.00826042,0.6453599,0.31783012],"study_design_scores_gemma":[0.00059858744,0.0005802787,0.049167797,0.0005901961,0.00010380752,0.0006073086,0.0011970574,0.010046288,0.006707449,0.010354881,0.91972685,0.00031950814],"about_ca_topic_score_codex":0.002871777,"about_ca_topic_score_gemma":0.0042315735,"teacher_disagreement_score":0.04638932,"about_ca_system_score_codex":0.0003370871,"about_ca_system_score_gemma":0.0012538431,"threshold_uncertainty_score":0.15518773},"labels":[],"label_agreement":null},{"id":"W2967570267","doi":"10.1016/j.softx.2019.100309","title":"Auxiliary codes for fault prognosis of Tennessee Eastman process using a hybrid model (CPL1.0)","year":2019,"lang":"en","type":"article","venue":"SoftwareX","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Hidden Markov model; Toolbox; Component (thermodynamics); MATLAB; Process (computing); Fault (geology); Bayesian network; Code (set theory); Source code; Focus (optics); Artificial intelligence; Machine learning; Programming language","score_opus":0.013803113156081487,"score_gpt":0.24393774218226896,"score_spread":0.23013462902618748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967570267","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012455436,0.000055172757,0.9311662,0.00017523534,0.00010617225,0.00021382583,0.004501627,0.042249408,0.00907694],"genre_scores_gemma":[0.39026386,0.00022856907,0.5635259,0.00021434942,0.00006413989,0.0016305933,0.009928942,0.006308596,0.027835036],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982625,0.000035784786,0.000020234433,0.000035374083,0.00006229744,0.000019976678],"domain_scores_gemma":[0.9987049,0.00066264725,0.00009764745,0.00012493944,0.0003741548,0.000035627505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005364333,0.0006359611,0.00028963297,0.00062203006,0.00032720162,0.0005734584,0.0013229122,0.0007832783,0.067538254],"category_scores_gemma":[0.0033625097,0.00029976806,0.00042049022,0.00036321642,0.00023903645,0.0006225802,0.0006021093,0.0006483779,0.009918693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000824814,0.00022654637,0.006111053,0.00075501815,0.000044942975,0.0009402063,0.00045125722,0.6113313,0.015048422,0.041517287,0.08161276,0.2411364],"study_design_scores_gemma":[0.000057839286,0.000033105585,0.0004884046,0.000039156177,0.0000069549833,0.000112749425,0.000021790058,0.9711178,0.00464458,0.004552325,0.018908523,0.000016736407],"about_ca_topic_score_codex":0.006634363,"about_ca_topic_score_gemma":0.0055110846,"teacher_disagreement_score":0.067538254,"about_ca_system_score_codex":0.00052319665,"about_ca_system_score_gemma":0.0010564247,"threshold_uncertainty_score":0.22593802},"labels":[],"label_agreement":null},{"id":"W2976031826","doi":"10.1016/j.softx.2019.100327","title":"AgDataBox API – Integration of data and software in precision agriculture","year":2019,"lang":"en","type":"article","venue":"SoftwareX","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Ministério da Agricultura, Pecuária e Abastecimento; Fundação de Amparo à Pesquisa do Estado de São Paulo; Ministry of Agriculture - Saskatchewan","keywords":"Computer science; Software; Data integration; Precision agriculture; Software engineering; Programming language; Operating system; Data mining; Agriculture; Geography","score_opus":0.022964877236568735,"score_gpt":0.23742568822318486,"score_spread":0.21446081098661612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976031826","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00855239,0.0003850578,0.34933016,0.00022673293,0.00023513612,0.00063217717,0.011130335,0.6175426,0.011965425],"genre_scores_gemma":[0.16591953,0.0011890739,0.46058586,0.0016413266,0.00033666773,0.0037834365,0.122903146,0.21065722,0.032983694],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.996636,0.00044431345,0.00058409135,0.0008451054,0.001102468,0.0003881777],"domain_scores_gemma":[0.9955096,0.0015222806,0.00029449677,0.0014709091,0.00091374165,0.00028884504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003816085,0.002151973,0.0014183896,0.0035408998,0.0006561752,0.0033838446,0.0029241408,0.0012393513,0.02162537],"category_scores_gemma":[0.0081884675,0.001138482,0.0017034587,0.002502763,0.00072150433,0.004313297,0.004967682,0.0025948896,0.021263318],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031123469,0.0011244686,0.018467015,0.0024924716,0.0007465373,0.0017686579,0.0027418444,0.0071439147,0.040963635,0.036389872,0.36139673,0.52365243],"study_design_scores_gemma":[0.00065681443,0.00031140362,0.016565448,0.00058733264,0.00020166441,0.0013680928,0.00038214438,0.07569551,0.08949734,0.03006769,0.78422505,0.00044157857],"about_ca_topic_score_codex":0.0025267042,"about_ca_topic_score_gemma":0.0010161041,"teacher_disagreement_score":0.02162537,"about_ca_system_score_codex":0.0010326549,"about_ca_system_score_gemma":0.0016302189,"threshold_uncertainty_score":0.072344065},"labels":[],"label_agreement":null},{"id":"W2996762233","doi":"10.1016/j.softx.2021.100658","title":"Open data from the first and second observing runs of Advanced LIGO and Advanced Virgo","year":2021,"lang":"en","type":"article","venue":"SoftwareX","topic":"Pulsars and Gravitational Waves Research","field":"Physics and Astronomy","cited_by":494,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Human Resource Development; Dirección General de Cultura y Patrimonio, Generalitat Valenciana; Conselleria d'Educació, Investigació, Cultura i Esport; Australian Research Council; Science and Technology Facilities Council; Centre Eau Terre Environnement, Institut National de la Recherche Scientifique; Istituto Nazionale di Fisica Nucleare; Universitat de les Illes Balears; Ministry of Education, India; National Research Foundation of Korea; Hungarian Scientific Research Fund; Generalitat Valenciana; Industry Canada; Kavli Foundation; National Natural Science Foundation of China; National Research, Development and Innovation Office; Agencia Estatal de Investigación; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Govern de les Illes Balears; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Agence Nationale de la Recherche; Centre National de la Recherche Scientifique; Council of Scientific and Industrial Research, India; National Research Foundation; Nemzeti Kutatási Fejlesztési és Innovációs Hivatal; Abdus Salam International Centre for Theoretical Physics; Instituto Nazionale di Fisica Nucleare; European Commission; Russian Foundation for Basic Research; ICTP South American Institute for Fundamental Research; Canadian Institute for Advanced Research; Ministero dello Sviluppo Economico; Institut des Origines de Lyon; Russian Science Foundation; Ministerio de Ciencia y Tecnología; Leverhulme Trust; Scottish Funding Council; European Regional Development Fund; Scottish Universities Physics Alliance; Conseil Régional, Île-de-France; Ontario Ministry of Economic Development and Innovation; Science and Engineering Research Board; National Science Foundation; Royal Society","keywords":"LIGO; Sky; Sensitivity (control systems); Open source; Gravitational wave; Series (stratigraphy)","score_opus":0.035869667950014665,"score_gpt":0.3476143321169346,"score_spread":0.3117446641669199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996762233","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031604487,0.00023579273,0.004442972,0.00026498147,0.00023963615,0.0001727683,0.9437699,0.007164647,0.012104821],"genre_scores_gemma":[0.02192924,0.00011394079,0.005611961,0.000096637974,0.00007723742,0.00023414723,0.96751976,0.001659091,0.0027579947],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978702,0.00014889192,0.00019511799,0.0003689877,0.0011248479,0.00029200065],"domain_scores_gemma":[0.9940842,0.0009798489,0.000994904,0.0015479999,0.001765521,0.000627563],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0015360344,0.0007907562,0.0007234494,0.004333135,0.00085009943,0.0015135774,0.0009353342,0.0011042615,0.017947366],"category_scores_gemma":[0.0074209613,0.0005059097,0.0007580117,0.0061278758,0.0005337821,0.0014192375,0.0024507188,0.0016810907,0.0143933715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019729724,0.0006004369,0.07924129,0.0020918706,0.00036688568,0.00041702887,0.001532981,0.0032630137,0.016194211,0.006463892,0.77781904,0.11003632],"study_design_scores_gemma":[0.0002224951,0.00011608203,0.23196213,0.0002340864,0.000107241875,0.0001887368,0.0003960342,0.0019786416,0.009574508,0.0048234416,0.75022864,0.00016799905],"about_ca_topic_score_codex":0.0097358,"about_ca_topic_score_gemma":0.013047647,"teacher_disagreement_score":0.9990647,"about_ca_system_score_codex":0.0005490902,"about_ca_system_score_gemma":0.0014108999,"threshold_uncertainty_score":0.060039937},"labels":[{"model":"gemma","categories":["open_science"],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["open_science"],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W3009890223","doi":"10.1016/j.softx.2020.100434","title":"UF2C — User-Friendly Functional Connectivity: A neuroimaging toolbox for fMRI processing and analyses","year":2020,"lang":"en","type":"article","venue":"SoftwareX","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Toolbox; Computer science; Preprocessor; User Friendly; Functional magnetic resonance imaging; Software; MIT License; Functional connectivity; Human–computer interaction; Task (project management); Neuroimaging; Field (mathematics); Event (particle physics); License; Artificial intelligence; Programming language; Neuroscience; Operating system","score_opus":0.1217404192981166,"score_gpt":0.32508212094471006,"score_spread":0.20334170164659346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009890223","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044626496,0.00067326083,0.7629159,0.00033081905,0.00023353704,0.0005950922,0.029685229,0.19115752,0.009945943],"genre_scores_gemma":[0.038122386,0.0007033104,0.7638555,0.0008143044,0.00021440758,0.0060517886,0.034744408,0.14066675,0.014827101],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993813,0.00013520903,0.000081494174,0.00013515579,0.00020432529,0.00006247911],"domain_scores_gemma":[0.99676055,0.0017353953,0.00030168184,0.0004536252,0.00058325415,0.00016542297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022504132,0.0020594853,0.001144559,0.0025913282,0.00057391304,0.0019146613,0.003274593,0.0012098529,0.15322655],"category_scores_gemma":[0.01097512,0.0013588611,0.0013333103,0.0013756768,0.0005896785,0.0023290871,0.0027890534,0.0019821047,0.04738664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008382576,0.00014965657,0.0016451196,0.0023428607,0.0004169614,0.0005798439,0.0005535205,0.006354859,0.020968221,0.017526532,0.6822729,0.26635125],"study_design_scores_gemma":[0.0009959989,0.00036225014,0.018862803,0.0010609864,0.0003838087,0.005430934,0.0001689078,0.17143089,0.060711335,0.11379527,0.6260794,0.00071735965],"about_ca_topic_score_codex":0.0020793423,"about_ca_topic_score_gemma":0.0049272845,"teacher_disagreement_score":0.15322655,"about_ca_system_score_codex":0.0005372646,"about_ca_system_score_gemma":0.0013459842,"threshold_uncertainty_score":0.51259387},"labels":[],"label_agreement":null},{"id":"W3027312765","doi":"10.1016/j.softx.2020.100512","title":"PowTrAn: An R Package for power trace analysis","year":2020,"lang":"en","type":"article","venue":"SoftwareX","topic":"Green IT and Sustainability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Software; Consistency (knowledge bases); TRACE (psycholinguistics); Energy consumption; Efficient energy use; Outlier; Visualization; Energy (signal processing); Embedded system; Mobile device; Real-time computing; Data mining; Artificial intelligence; Operating system","score_opus":0.013146735371028472,"score_gpt":0.22903358536460947,"score_spread":0.215886849993581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027312765","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066908146,0.002477843,0.43975753,0.0010203231,0.0009645484,0.000795141,0.15194641,0.38927004,0.0070773424],"genre_scores_gemma":[0.08147285,0.0032190992,0.6169338,0.0018868028,0.00062933326,0.009585133,0.08642027,0.18278354,0.017069029],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979646,0.00068847334,0.00023010637,0.00040771888,0.00056374585,0.00014530479],"domain_scores_gemma":[0.9858312,0.011009031,0.0010051689,0.000875398,0.0011241962,0.00015500367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033547923,0.003385189,0.0023820149,0.002635459,0.00057119754,0.0023568303,0.0030620468,0.0013176096,0.098243535],"category_scores_gemma":[0.026480941,0.0015769806,0.0029617795,0.0024477257,0.0007442052,0.0018580405,0.0019935046,0.0034929265,0.044558115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007488143,0.00012523662,0.009424227,0.0097372895,0.0032352188,0.001166341,0.0005684609,0.033259086,0.00609894,0.019619156,0.79399174,0.12202539],"study_design_scores_gemma":[0.00071515876,0.00033417894,0.00822186,0.0012909124,0.0012435629,0.0012738121,0.00021988236,0.10599246,0.012013325,0.04540029,0.82294154,0.0003530946],"about_ca_topic_score_codex":0.004032727,"about_ca_topic_score_gemma":0.004106211,"teacher_disagreement_score":0.098243535,"about_ca_system_score_codex":0.0005507124,"about_ca_system_score_gemma":0.003080123,"threshold_uncertainty_score":0.3286574},"labels":[],"label_agreement":null},{"id":"W3041518155","doi":"10.1016/j.softx.2021.100901","title":"ACORNS: An easy-to-use code generator for gradients and Hessians","year":2022,"lang":"en","type":"article","venue":"SoftwareX","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Python (programming language); Computer science; Automatic differentiation; Computation; Programming language; Code (set theory); Ranging; Generator (circuit theory); Code generation; Computational science; Source code; Parallel computing; Theoretical computer science; Algorithm; Operating system; Set (abstract data type)","score_opus":0.030911843699870264,"score_gpt":0.27560548785610495,"score_spread":0.24469364415623468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041518155","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003059575,0.00019673568,0.6924956,0.00017555853,0.0003164707,0.00031816124,0.0045864577,0.29006112,0.008790488],"genre_scores_gemma":[0.047235724,0.00043419536,0.744931,0.000716638,0.00018114712,0.0019777822,0.015146845,0.17042136,0.018955417],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99881625,0.0001570094,0.00013196775,0.00020153908,0.0005762713,0.000117065116],"domain_scores_gemma":[0.9974381,0.0010589039,0.00021897527,0.0003657928,0.00073452777,0.00018376895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014869091,0.0020076195,0.00094610977,0.0015049952,0.0007516676,0.0015355343,0.005139333,0.0014684519,0.047077116],"category_scores_gemma":[0.008922386,0.0013792615,0.0013202514,0.00122256,0.0009436062,0.002136391,0.0026055896,0.0033376415,0.028801963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091880007,0.00041796372,0.003964724,0.001537382,0.00021963882,0.0009114796,0.00043886184,0.07712803,0.022705596,0.045260858,0.48664922,0.35984752],"study_design_scores_gemma":[0.0005798978,0.00012405087,0.0013042374,0.00025125,0.00004308532,0.0008459039,0.00004374141,0.62216896,0.05106893,0.040639512,0.28269026,0.00024015988],"about_ca_topic_score_codex":0.0022373984,"about_ca_topic_score_gemma":0.003278656,"teacher_disagreement_score":0.047077116,"about_ca_system_score_codex":0.0006602294,"about_ca_system_score_gemma":0.0024863665,"threshold_uncertainty_score":0.15748864},"labels":[],"label_agreement":null},{"id":"W3044565425","doi":"10.1016/j.softx.2020.100620","title":"Omicron: A tool to characterize transient noise in gravitational-wave detectors","year":2020,"lang":"en","type":"article","venue":"SoftwareX","topic":"Pulsars and Gravitational Waves Research","field":"Physics and Astronomy","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Australian Research Council; Horizon 2020 Framework Programme; Instituto Nazionale di Fisica Nucleare; Centre Eau Terre Environnement, Institut National de la Recherche Scientifique; Science and Technology Facilities Council; Istituto Nazionale di Fisica Nucleare; Centre National de la Recherche Scientifique; National Science Foundation","keywords":"Detector; Transient (computer programming); Software; Noise (video); Spectrogram; Representation (politics); Event (particle physics)","score_opus":0.0252998826841433,"score_gpt":0.2901681847815071,"score_spread":0.2648683020973638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044565425","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015685694,0.00032446935,0.58362657,0.00011607196,0.00011434612,0.00026547798,0.0096275965,0.38329306,0.006946683],"genre_scores_gemma":[0.19000809,0.00044039416,0.68264127,0.00043365042,0.00010636556,0.0011149753,0.02989515,0.078770906,0.016589245],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902797,0.00009757717,0.0000986935,0.0001845864,0.00050039316,0.0000907684],"domain_scores_gemma":[0.99814534,0.0008621523,0.00025034492,0.00026140246,0.00040686256,0.00007390471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001284918,0.0019995053,0.00087467645,0.0023720295,0.00061571423,0.0017264928,0.0021410761,0.00070774014,0.0230295],"category_scores_gemma":[0.0046377676,0.00086473516,0.0008812442,0.0012589667,0.00040378532,0.0017450011,0.0015832456,0.001054253,0.005691957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015246238,0.00035555352,0.014681183,0.0020635116,0.00043525538,0.0011436915,0.0011161425,0.03891777,0.081707366,0.015564124,0.30806231,0.53442836],"study_design_scores_gemma":[0.00042056132,0.00027011038,0.0117388,0.00032672606,0.00013095574,0.001246523,0.00027329125,0.5824715,0.17174749,0.017113984,0.21394852,0.0003116872],"about_ca_topic_score_codex":0.0034323921,"about_ca_topic_score_gemma":0.0035217882,"teacher_disagreement_score":0.0230295,"about_ca_system_score_codex":0.00074849644,"about_ca_system_score_gemma":0.0009428693,"threshold_uncertainty_score":0.07704139},"labels":[],"label_agreement":null},{"id":"W4226056439","doi":"10.1016/j.softx.2022.101077","title":"OpenIPDM: A probabilistic framework for estimating the deterioration and effect of interventions on bridges","year":2022,"lang":"en","type":"article","venue":"SoftwareX","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Context (archaeology); Probabilistic logic; Software; Process (computing); Scale (ratio); Intervention (counseling); Graphical user interface; Interface (matter); Software engineering; Psychological intervention; Work (physics); Data science; Artificial intelligence; Engineering; Programming language","score_opus":0.013599676626593405,"score_gpt":0.27602391637581003,"score_spread":0.26242423974921664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226056439","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010064071,0.00007237277,0.9969373,0.000035739755,0.000009086512,0.000028772776,0.0003303539,0.00090378436,0.0006761548],"genre_scores_gemma":[0.1525646,0.00070614414,0.83858865,0.00010560168,0.000077647266,0.0004894171,0.0023719324,0.0008675195,0.0042284084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99847454,0.00048931595,0.00009482882,0.00032219436,0.0005144725,0.00010461406],"domain_scores_gemma":[0.9966642,0.0021281976,0.00036311502,0.0002875054,0.00044073837,0.000116204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003962799,0.0014648337,0.0013301135,0.0029440976,0.00060167763,0.0024744386,0.0039669247,0.001704036,0.007173407],"category_scores_gemma":[0.010168573,0.0015326082,0.0022751258,0.0015135045,0.001218914,0.0018302125,0.0023340664,0.0016270578,0.0010900394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025348189,0.00002140051,0.0010689688,0.00011241021,0.000056797744,0.000058728645,0.0000515694,0.95030755,0.00060184294,0.022209357,0.0014364925,0.024049565],"study_design_scores_gemma":[0.000008573429,0.00001571988,0.00028093276,0.000021487738,0.00001494822,0.000047771344,0.000009273863,0.98187274,0.0003867196,0.013815058,0.0035087892,0.000017923978],"about_ca_topic_score_codex":0.038883977,"about_ca_topic_score_gemma":0.038368102,"teacher_disagreement_score":0.038883977,"about_ca_system_score_codex":0.0020550457,"about_ca_system_score_gemma":0.0034249818,"threshold_uncertainty_score":0.07731533},"labels":[],"label_agreement":null},{"id":"W4362471371","doi":"10.1016/j.softx.2023.101384","title":"PyFWI: A Python package for full-waveform inversion and reservoir monitoring","year":2023,"lang":"en","type":"article","venue":"SoftwareX","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Society of Economic Geologists Foundation","keywords":"Computer science; Python (programming language); Computation; Inversion (geology); Computational science; Parallel computing; Algorithm; Computer engineering; Real-time computing; Geology; Operating system","score_opus":0.032942887861435156,"score_gpt":0.2535599062338644,"score_spread":0.22061701837242922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362471371","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046125418,0.00026853412,0.4837452,0.000299848,0.00016955425,0.00021170112,0.025532562,0.47487152,0.0102884965],"genre_scores_gemma":[0.088496484,0.0009564871,0.6375369,0.0010814429,0.00016519405,0.0018636833,0.07454149,0.17423904,0.02111935],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995472,0.000053768283,0.000042715146,0.000090263915,0.00018778649,0.0000783033],"domain_scores_gemma":[0.99919385,0.00025411468,0.000090460766,0.00014048153,0.00024156066,0.00007953755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008016973,0.0015936474,0.0010916694,0.0010593921,0.0006305661,0.0014676558,0.0032328118,0.00083348365,0.055766523],"category_scores_gemma":[0.0031958825,0.0010241468,0.0013015306,0.0011862935,0.0005959938,0.002074641,0.0021306989,0.002419523,0.0220955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005882847,0.00024605196,0.0056392257,0.0025993595,0.0004774477,0.0007533786,0.0005699279,0.036577184,0.02846148,0.020593457,0.65371275,0.24978143],"study_design_scores_gemma":[0.00033374198,0.00010793335,0.0050437506,0.00024594384,0.000107005406,0.0007591182,0.00011911241,0.47086453,0.04652079,0.035121586,0.44051817,0.00025839102],"about_ca_topic_score_codex":0.0039737113,"about_ca_topic_score_gemma":0.0045914417,"teacher_disagreement_score":0.055766523,"about_ca_system_score_codex":0.00050129945,"about_ca_system_score_gemma":0.00216491,"threshold_uncertainty_score":0.18655759},"labels":[],"label_agreement":null},{"id":"W4383499828","doi":"10.1016/j.softx.2023.101460","title":"SPAALUV: Software Package for Automated Analysis of Lung Ultrasound Videos","year":2023,"lang":"en","type":"article","venue":"SoftwareX","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Science and Engineering Research Board; Compute Canada; Nvidia; Department of Science and Technology, Ministry of Science and Technology, India; Yale University","keywords":"Computer science; Flagging; Key (lock); Segmentation; Software; Artificial intelligence; Computer vision; Computer security; Operating system; Cartography","score_opus":0.03577089678387716,"score_gpt":0.3728153156700011,"score_spread":0.3370444188861239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383499828","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038382648,0.0007099757,0.32061726,0.00026684834,0.00034500397,0.0007417021,0.0427625,0.62576926,0.0049492745],"genre_scores_gemma":[0.053148977,0.0012016128,0.6016832,0.0009823162,0.0003160514,0.0061260243,0.11269838,0.20181887,0.022024589],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99929774,0.00012672824,0.00010041793,0.00019083344,0.00020036075,0.0000839236],"domain_scores_gemma":[0.99856794,0.0007314333,0.00013936184,0.00015377639,0.00032219777,0.0000851849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016496779,0.0019394452,0.0013075585,0.0025953676,0.0004374349,0.0017894257,0.0017753883,0.0008864602,0.11927352],"category_scores_gemma":[0.0062057017,0.0011589437,0.0015714078,0.0009157948,0.0003935377,0.0011678787,0.0022404909,0.001680616,0.052236922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011613414,0.00016389326,0.0041486355,0.0032872884,0.0005564976,0.0006806552,0.0005721556,0.0045769652,0.021897184,0.0046864143,0.6360772,0.32219175],"study_design_scores_gemma":[0.0006605151,0.00048695787,0.01733789,0.00097133283,0.00037078475,0.0025573731,0.00035091036,0.1364229,0.072488144,0.029223733,0.7385567,0.0005726887],"about_ca_topic_score_codex":0.0020625826,"about_ca_topic_score_gemma":0.0024753485,"teacher_disagreement_score":0.11927352,"about_ca_system_score_codex":0.0004907963,"about_ca_system_score_gemma":0.0012790266,"threshold_uncertainty_score":0.39900964},"labels":[],"label_agreement":null},{"id":"W4383878434","doi":"10.1016/j.softx.2023.101465","title":"E-ARCP: An exact solution approach to the Collaborative Multi-vehicle Prize Collecting Arc Routing for Connectivity Problem","year":2023,"lang":"en","type":"article","venue":"SoftwareX","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Marine Environmental Observation Prediction and Response Network","keywords":"Routing (electronic design automation); Reuse; Computer science; Prioritization; Vehicle routing problem; Software; Arc (geometry); Computer network; Engineering","score_opus":0.0700282576829623,"score_gpt":0.28630069141622777,"score_spread":0.2162724337332655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383878434","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030244254,0.00012753709,0.9863815,0.00017958705,0.000056527035,0.00007776961,0.00021575863,0.0008159938,0.009120987],"genre_scores_gemma":[0.1293498,0.00033828503,0.86287755,0.00017223225,0.0000829389,0.00035991563,0.00062153686,0.00047841313,0.0057193316],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990866,0.00028898387,0.000043458782,0.000151527,0.0002954498,0.00013395901],"domain_scores_gemma":[0.99823356,0.0011211057,0.00011964483,0.00018321876,0.0002596646,0.000082827515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016045773,0.0011673388,0.001208571,0.0011510245,0.0009241165,0.0014982953,0.0026328834,0.0019914887,0.014397578],"category_scores_gemma":[0.00603265,0.00067427784,0.0011052139,0.0016959438,0.0007654221,0.0016945759,0.0019224507,0.0016361737,0.0015620689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027911521,0.00003738837,0.00021077332,0.00007297085,0.000021597578,0.00004656094,0.000031287007,0.9325099,0.00021732695,0.02433379,0.0039043117,0.038586266],"study_design_scores_gemma":[0.000017913455,0.000014942165,0.000030094212,0.000007185044,0.000004625209,0.000020961974,0.000013185483,0.9840552,0.00014405779,0.012916471,0.0027710327,0.0000043635846],"about_ca_topic_score_codex":0.014066867,"about_ca_topic_score_gemma":0.018438892,"teacher_disagreement_score":0.014397578,"about_ca_system_score_codex":0.0013320335,"about_ca_system_score_gemma":0.002999903,"threshold_uncertainty_score":0.048164725},"labels":[],"label_agreement":null},{"id":"W4384701476","doi":"10.1016/j.softx.2023.101469","title":"FIPEX v10.4: An ArcGIS Desktop Add-in for assessing impacts of fish passage barriers and longitudinal connectivity of rivers","year":2023,"lang":"en","type":"article","venue":"SoftwareX","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Parks Canada; Memorial University of Newfoundland; University of British Columbia; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Dalhousie University; Parks Canada","keywords":"Biome; Computer science; Fish <Actinopterygii>; Environmental science; Environmental resource management; Hydrology (agriculture); Water resource management; Ecology; Fishery; Ecosystem; Geology","score_opus":0.020374425534335616,"score_gpt":0.27354009447824906,"score_spread":0.25316566894391346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384701476","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011565519,0.0003416697,0.18554,0.00068577816,0.00060787355,0.0007346977,0.3591538,0.39541987,0.045950864],"genre_scores_gemma":[0.051589236,0.0006158704,0.46786475,0.00052321557,0.00019386267,0.004527408,0.3154442,0.13963997,0.019601565],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990715,0.00015033493,0.00014547579,0.00022866264,0.00029501962,0.00010906965],"domain_scores_gemma":[0.99796355,0.0009112338,0.00021696853,0.0002472071,0.00054382894,0.00011718446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025253645,0.002455163,0.0015108378,0.0036678393,0.0006625854,0.002352982,0.0030854882,0.00085251953,0.13906366],"category_scores_gemma":[0.008639537,0.0016759982,0.0015198585,0.0042323936,0.00053508696,0.0029244244,0.0027843402,0.0019614878,0.0479374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018753998,0.00008589203,0.0044963155,0.00092821004,0.00020639197,0.00024308158,0.0007348841,0.005601356,0.002038137,0.006873735,0.9107811,0.06782331],"study_design_scores_gemma":[0.00031376406,0.00007746041,0.014752975,0.00041164836,0.00015534564,0.0005049893,0.00039727017,0.033796716,0.007339479,0.018224455,0.9237809,0.00024482387],"about_ca_topic_score_codex":0.012895053,"about_ca_topic_score_gemma":0.017128669,"teacher_disagreement_score":0.13906366,"about_ca_system_score_codex":0.00074399065,"about_ca_system_score_gemma":0.0021705115,"threshold_uncertainty_score":0.46521425},"labels":[],"label_agreement":null},{"id":"W4385431408","doi":"10.1016/j.softx.2023.101485","title":"EcoDynElec: Open Python package to create historical profiles of environmental impacts from regional electricity mixes","year":2023,"lang":"en","type":"article","venue":"SoftwareX","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Bundesamt für Energie","keywords":"Python (programming language); Electricity; Computer science; Open source; Electricity system; Electricity generation; Database; Programming language; Engineering; Software; Electrical engineering","score_opus":0.018145484601618234,"score_gpt":0.2564998175530732,"score_spread":0.23835433295145497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385431408","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010340975,0.00024604631,0.31367064,0.00042655558,0.00026455586,0.00035281666,0.10385401,0.5547263,0.016118174],"genre_scores_gemma":[0.13232292,0.0009589227,0.368486,0.001578923,0.0002094361,0.0032634654,0.19209667,0.27529088,0.025792725],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996201,0.000062758496,0.000042328185,0.000096343494,0.00011418477,0.000064383305],"domain_scores_gemma":[0.9990589,0.000435207,0.00008204563,0.00014894622,0.0001972912,0.00007751644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009497386,0.0014590806,0.0007132568,0.0010346442,0.00050095073,0.0014467804,0.0018692857,0.0005954014,0.052937914],"category_scores_gemma":[0.003740396,0.0008562959,0.0014521969,0.0009500196,0.0005052865,0.0017669449,0.002123547,0.0017815315,0.020503841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000539537,0.00026596544,0.012641101,0.0025238718,0.0004625669,0.0008230794,0.00091139093,0.048323926,0.0077290824,0.023355227,0.7569426,0.1454816],"study_design_scores_gemma":[0.00040353846,0.000088764406,0.011095278,0.0003519215,0.00011721317,0.00051437464,0.00017613344,0.27995193,0.019819733,0.058941975,0.6282736,0.00026550549],"about_ca_topic_score_codex":0.004499469,"about_ca_topic_score_gemma":0.0062951883,"teacher_disagreement_score":0.052937914,"about_ca_system_score_codex":0.00055987237,"about_ca_system_score_gemma":0.0016580138,"threshold_uncertainty_score":0.17709494},"labels":[],"label_agreement":null},{"id":"W4386427483","doi":"10.1016/j.softx.2023.101508","title":"CoTranslate: A web-based tool for crowdsourcing high-quality sentence pair corpora","year":2023,"lang":"en","type":"article","venue":"SoftwareX","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Crowdsourcing; Computer science; Sentence; World Wide Web; Natural language processing; Quality (philosophy); Web application; Artificial intelligence","score_opus":0.027959253072589032,"score_gpt":0.3009481217690872,"score_spread":0.2729888686964982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386427483","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017407026,0.0011582382,0.68409294,0.00163911,0.0019738104,0.0045974227,0.07722454,0.17176136,0.040145513],"genre_scores_gemma":[0.076647356,0.0005554031,0.70575917,0.0012180255,0.0006975134,0.008915515,0.14932197,0.025934031,0.030951122],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9911878,0.0037184586,0.0007760084,0.0014415617,0.0025954458,0.0002806489],"domain_scores_gemma":[0.9688917,0.013694184,0.0015006735,0.0076340195,0.0068985373,0.0013808995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0117366165,0.0021666195,0.0013299881,0.007495178,0.0026082762,0.0028248536,0.002801837,0.0019621078,0.047830183],"category_scores_gemma":[0.04283631,0.001281651,0.0011192998,0.004523486,0.0013625199,0.0036417006,0.008786818,0.0025190893,0.034111094],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015417058,0.0005130944,0.002347175,0.0038210717,0.00048843713,0.0011565855,0.004292174,0.007644097,0.058454573,0.014867251,0.56911933,0.33575454],"study_design_scores_gemma":[0.001050708,0.00046600905,0.0051990016,0.00063143205,0.00013930362,0.00087920186,0.0023788125,0.09342148,0.052666042,0.04786336,0.79474556,0.00055903196],"about_ca_topic_score_codex":0.0043037953,"about_ca_topic_score_gemma":0.011236055,"teacher_disagreement_score":0.047830183,"about_ca_system_score_codex":0.0012288861,"about_ca_system_score_gemma":0.004339381,"threshold_uncertainty_score":0.16000795},"labels":[],"label_agreement":null},{"id":"W4387925017","doi":"10.1016/j.softx.2023.101547","title":"EASYMORE: A Python package to streamline the remapping of variables for Earth System models","year":2023,"lang":"en","type":"article","venue":"SoftwareX","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canmore Museum and Geoscience Centre; University of Calgary; University of Saskatchewan","funders":"Global Water Futures","keywords":"Python (programming language); NetCDF; Computer science; Computational science; Earth system science; Discretization; Computer graphics (images); Programming language; Geology","score_opus":0.021493977223921712,"score_gpt":0.23096941933979662,"score_spread":0.2094754421158749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387925017","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027265977,0.0002712301,0.5013346,0.0004171181,0.00026861002,0.00033092164,0.045562837,0.43737283,0.011715284],"genre_scores_gemma":[0.034017313,0.0008676819,0.59208655,0.001152156,0.00025334986,0.0022931676,0.07877741,0.2722565,0.018295845],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992207,0.00015641973,0.00009103353,0.00014583037,0.00029146456,0.000094474104],"domain_scores_gemma":[0.9981718,0.00091410236,0.00016661637,0.00028730364,0.0003143333,0.000145842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016688965,0.0015953956,0.0010887074,0.0013087465,0.000758378,0.0020390123,0.0030760805,0.0007529677,0.07214671],"category_scores_gemma":[0.0068124337,0.0014679304,0.0018390354,0.0012548735,0.0007472268,0.0027197928,0.0037547234,0.0034865807,0.0370375],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002478038,0.00017126084,0.003732451,0.0022617937,0.0003481491,0.0005417868,0.00070285343,0.028098846,0.0073744934,0.028703865,0.78814155,0.13967514],"study_design_scores_gemma":[0.00028775353,0.00006825627,0.0041850754,0.0003983246,0.00008602741,0.00046596007,0.00010175364,0.14228152,0.012572054,0.060920812,0.7783917,0.00024074924],"about_ca_topic_score_codex":0.0041082767,"about_ca_topic_score_gemma":0.0066160294,"teacher_disagreement_score":0.07214671,"about_ca_system_score_codex":0.00057071756,"about_ca_system_score_gemma":0.0023547781,"threshold_uncertainty_score":0.24135482},"labels":[],"label_agreement":null},{"id":"W4390122324","doi":"10.1016/j.softx.2023.101619","title":"Global-GMDs: The global map of geomagnetic disturbances","year":2023,"lang":"en","type":"article","venue":"SoftwareX","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Commission Géologique du Canada; British Antarctic Survey; Università degli Studi dell'Aquila; Sveriges Geologiska Undersökning; Florida Institute of Technology; Alberta Agricultural Research Institute; Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ; Universitetet i Tromsø; National Aeronautics and Space Administration","keywords":"Earth's magnetic field; Grid; Kriging; Geomagnetic storm; Software; Computer science; Field (mathematics); Geophysics; Remote sensing; Geology; Environmental science; Geodesy; Magnetic field; Mathematics; Physics","score_opus":0.005352838027352354,"score_gpt":0.23179197644426908,"score_spread":0.22643913841691674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390122324","genre_codex":"dataset","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029769778,0.0008304643,0.13052751,0.00093153876,0.00050064706,0.00026721862,0.5055128,0.29378566,0.037874334],"genre_scores_gemma":[0.1967954,0.0013594223,0.1658316,0.00039332866,0.00016450322,0.0004820198,0.59544533,0.026213674,0.013314716],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998079,0.000030121246,0.0000171835,0.000046163295,0.000071813534,0.000026824087],"domain_scores_gemma":[0.99956304,0.00008449172,0.000062650506,0.00009075018,0.00013788759,0.0000612173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005843499,0.0010897263,0.000652222,0.0022540533,0.0003353319,0.0012781974,0.0009794954,0.0006498351,0.02395315],"category_scores_gemma":[0.0015985668,0.00039996597,0.0010170353,0.0030444365,0.00021782027,0.0015598461,0.0013636053,0.00096759055,0.007993026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006096938,0.00011313708,0.02426541,0.0017103486,0.00055200566,0.00043803462,0.00079431443,0.04806201,0.008855436,0.011187841,0.6991079,0.20430385],"study_design_scores_gemma":[0.00065844756,0.00010808712,0.039051145,0.00032770328,0.00019244869,0.00024991072,0.0005058471,0.11474355,0.010052298,0.014767252,0.819163,0.00018026422],"about_ca_topic_score_codex":0.015699692,"about_ca_topic_score_gemma":0.012134559,"teacher_disagreement_score":0.02395315,"about_ca_system_score_codex":0.00040866132,"about_ca_system_score_gemma":0.0011372794,"threshold_uncertainty_score":0.08013123},"labels":[],"label_agreement":null},{"id":"W4391689861","doi":"10.1016/j.softx.2024.101649","title":"APRCOIE: An open information extraction system for Chinese","year":2024,"lang":"en","type":"article","venue":"SoftwareX","topic":"Topic Modeling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; National Office for Philosophy and Social Sciences","keywords":"Computer science; Information extraction; Information retrieval; World Wide Web; Natural language processing","score_opus":0.02400441237466808,"score_gpt":0.314194521563081,"score_spread":0.29019010918841287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391689861","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031969197,0.0015333066,0.5403139,0.0013794785,0.00043551557,0.0021788075,0.13763474,0.24605593,0.038499072],"genre_scores_gemma":[0.11323473,0.0017434197,0.58100253,0.00046989418,0.00029076228,0.0021401371,0.26686773,0.0070823464,0.02716845],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99912125,0.00011783306,0.00015551843,0.00021477554,0.00032668846,0.00006393691],"domain_scores_gemma":[0.9973984,0.0008932847,0.0002869726,0.00039699097,0.0008833505,0.0001410529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015457798,0.0013359555,0.00072058564,0.0063411808,0.0010155259,0.0014269421,0.0011815194,0.00059006445,0.012981758],"category_scores_gemma":[0.006052715,0.00053748843,0.00091558543,0.0051938575,0.00044884282,0.004146472,0.0019462013,0.0008096386,0.007840032],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050545926,0.00017225642,0.009173991,0.0025716077,0.00021787756,0.0016041786,0.0021106093,0.0033273983,0.022986084,0.024946703,0.377106,0.55527776],"study_design_scores_gemma":[0.00020089494,0.0001639419,0.014963719,0.0002821764,0.00025831166,0.0012865971,0.000664182,0.07772893,0.047333583,0.021733325,0.83510613,0.0002781033],"about_ca_topic_score_codex":0.009312331,"about_ca_topic_score_gemma":0.0113816615,"teacher_disagreement_score":0.012981758,"about_ca_system_score_codex":0.00090396946,"about_ca_system_score_gemma":0.0044848043,"threshold_uncertainty_score":0.04342836},"labels":[],"label_agreement":null},{"id":"W4393086030","doi":"10.1016/j.softx.2024.101687","title":"A C++17 thread pool for high-performance scientific computing","year":2024,"lang":"en","type":"article","venue":"SoftwareX","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Computer science; Thread (computing); Parallel computing; Distributed computing; Operating system","score_opus":0.019369145537007963,"score_gpt":0.27180941824508076,"score_spread":0.2524402727080728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393086030","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008146123,0.0005301987,0.90308535,0.0001549245,0.00032875934,0.00062382506,0.0009657252,0.07858898,0.0075762337],"genre_scores_gemma":[0.06088006,0.0006404003,0.8981543,0.0005120233,0.00018700851,0.002588193,0.0042832238,0.022132756,0.010621952],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977428,0.00036254016,0.00025823803,0.00038692547,0.000835312,0.00041420248],"domain_scores_gemma":[0.99757224,0.0004944718,0.00018616032,0.0007606264,0.00065663934,0.00032981014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002697428,0.0016924823,0.0011277368,0.0011431474,0.0010050453,0.0025194797,0.0058671297,0.0015678955,0.02080178],"category_scores_gemma":[0.006307666,0.0014914747,0.0016629179,0.001665261,0.00097140117,0.002669741,0.0025474823,0.0035543123,0.01605684],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004170418,0.0009653117,0.0059745796,0.0028929831,0.0007268178,0.0013973846,0.00106332,0.058044713,0.111049876,0.10064562,0.2518245,0.46124452],"study_design_scores_gemma":[0.0016725942,0.0008381534,0.0022915981,0.0003680481,0.00032992437,0.0010083874,0.0000869368,0.33315414,0.106662855,0.038703006,0.5144341,0.00045029263],"about_ca_topic_score_codex":0.0017154113,"about_ca_topic_score_gemma":0.0011530245,"teacher_disagreement_score":0.02080178,"about_ca_system_score_codex":0.00087863585,"about_ca_system_score_gemma":0.0034026352,"threshold_uncertainty_score":0.0695889},"labels":[],"label_agreement":null},{"id":"W4393177403","doi":"10.1016/j.softx.2024.101682","title":"ADM1jl: A Julia implementation of the Anaerobic Digestion Model 1","year":2024,"lang":"en","type":"article","venue":"SoftwareX","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centre of Innovation","keywords":"Implementation; Anaerobic digestion; Computer science; Task (project management); Digestion (alchemy); Anaerobic exercise; Programming language; Chemistry; Chromatography; Systems engineering; Engineering","score_opus":0.011321692568340936,"score_gpt":0.25012267267458965,"score_spread":0.23880098010624873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393177403","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015482585,0.00024928318,0.81457895,0.00024801763,0.00024678768,0.00031232813,0.009763519,0.13908069,0.020037875],"genre_scores_gemma":[0.09393465,0.0005205924,0.8236835,0.00038880095,0.00007990359,0.0013683328,0.018077843,0.04124177,0.020704629],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99946755,0.00010742586,0.000053477124,0.00010377396,0.00017435991,0.00009349953],"domain_scores_gemma":[0.99898344,0.0005452701,0.00006641716,0.00011166464,0.00023794362,0.000055210254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014056165,0.0010815323,0.00092610327,0.0005343749,0.0004708879,0.0012822957,0.003461627,0.00097526074,0.032395966],"category_scores_gemma":[0.0040976517,0.0010031974,0.0013388246,0.00049931655,0.0003314508,0.0008987979,0.0012292553,0.0023483548,0.011348727],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001575144,0.0007612777,0.00817127,0.0032484932,0.00053729693,0.0008951965,0.0008409794,0.32247692,0.0315326,0.084444515,0.27084437,0.27467194],"study_design_scores_gemma":[0.00033151507,0.00012658478,0.00096409745,0.00013017475,0.000068502086,0.00020544817,0.00004993238,0.80631036,0.016964907,0.0145269,0.16022657,0.00009492288],"about_ca_topic_score_codex":0.002676537,"about_ca_topic_score_gemma":0.0022201638,"teacher_disagreement_score":0.032395966,"about_ca_system_score_codex":0.00055561896,"about_ca_system_score_gemma":0.0015308879,"threshold_uncertainty_score":0.10837525},"labels":[],"label_agreement":null},{"id":"W4399883444","doi":"10.1016/j.softx.2024.101794","title":"SACETraj: An AutoCAD Catmull-Rom Spline Trajectory Interpolator","year":2024,"lang":"eo","type":"article","venue":"SoftwareX","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Spline (mechanical); Computer graphics (images); Trajectory; Engineering","score_opus":0.012283384562898465,"score_gpt":0.26057419715435337,"score_spread":0.2482908125914549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399883444","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076684635,0.00011835047,0.9392782,0.00005916387,0.00011354886,0.000112737114,0.0007405689,0.03889494,0.013014059],"genre_scores_gemma":[0.15431978,0.00037341582,0.7975377,0.00009839656,0.000047135873,0.000502997,0.003410826,0.008204367,0.03550542],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994574,0.000049975788,0.000028191305,0.000054709984,0.00038062257,0.000028968461],"domain_scores_gemma":[0.9995701,0.0001276917,0.00004147211,0.00008667327,0.00014665216,0.000027408229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000639263,0.0005516709,0.000496816,0.001002981,0.00029460917,0.00076889794,0.0014845514,0.0006578762,0.03187358],"category_scores_gemma":[0.0011103579,0.000492764,0.0004790506,0.00084165164,0.00023307918,0.00053730095,0.00066067534,0.00094484445,0.0061267116],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077092083,0.00023921937,0.0018970231,0.0010645649,0.00008512098,0.00057081284,0.0005865289,0.12646022,0.14794591,0.052120633,0.07107016,0.59718883],"study_design_scores_gemma":[0.00015748022,0.00022636293,0.0010224772,0.00008341932,0.000037427668,0.0010619373,0.000048311187,0.65929747,0.08952345,0.0037591236,0.24467407,0.00010859873],"about_ca_topic_score_codex":0.0009798201,"about_ca_topic_score_gemma":0.0012611186,"teacher_disagreement_score":0.03187358,"about_ca_system_score_codex":0.00038455572,"about_ca_system_score_gemma":0.0009878442,"threshold_uncertainty_score":0.10662776},"labels":[],"label_agreement":null},{"id":"W4401484758","doi":"10.1016/j.softx.2024.101845","title":"Corrigendum to “FT Xtraction: Feature Extraction and Visualization of Conversational Video Data for Social and Emotional Analysis” [SoftwareX Volume 27 (2024), 1-8, 101827]","year":2024,"lang":"en","type":"erratum","venue":"SoftwareX","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Research Foundation of Korea","keywords":"Computer science; Volume (thermodynamics); Visualization; Feature extraction; Feature (linguistics); Artificial intelligence; Natural language processing; Linguistics","score_opus":0.04015975592567699,"score_gpt":0.3180027191613948,"score_spread":0.2778429632357178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401484758","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00039661478,0.0011402587,0.0098746745,0.051857993,0.87619376,0.00024562492,0.010214953,0.011427115,0.038649026],"genre_scores_gemma":[0.003293899,0.0019454876,0.00927616,0.027304193,0.060258195,0.00033319177,0.014352153,0.006445369,0.8767914],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952827,0.00068254984,0.00048528198,0.00052174396,0.002686393,0.00034129233],"domain_scores_gemma":[0.97275215,0.0034172216,0.0006644466,0.0014507523,0.020766128,0.0009493767],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002651237,0.0026778905,0.0019370182,0.005279055,0.003917973,0.0052955667,0.0028807963,0.0046913223,0.30152944],"category_scores_gemma":[0.03430772,0.0010295528,0.0017755032,0.0030662958,0.0014493556,0.0021332216,0.0025912726,0.0045561115,0.22232722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008584744,0.0000036544081,0.000010863555,0.000026597101,0.0000018689507,0.000025966141,0.000004335134,0.000017607714,0.000048376467,0.000157325,0.99565,0.0040446236],"study_design_scores_gemma":[0.00001644981,0.000021665988,0.00051865645,0.000101175974,0.00001390409,0.00010701203,0.000035583373,0.0005148242,0.0005087615,0.00080691953,0.9973231,0.000031996355],"about_ca_topic_score_codex":0.05979101,"about_ca_topic_score_gemma":0.08363694,"teacher_disagreement_score":0.30152944,"about_ca_system_score_codex":0.0039122845,"about_ca_system_score_gemma":0.004364847,"threshold_uncertainty_score":0.9962835},"labels":[],"label_agreement":null},{"id":"W4404019843","doi":"10.1016/j.softx.2024.101952","title":"Maritime tracking data analysis and integration with AISdb","year":2024,"lang":"en","type":"article","venue":"SoftwareX","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; Dalhousie University","funders":"","keywords":"Computer science; Tracking (education); Data integration; Data mining; Sociology","score_opus":0.015710399680930572,"score_gpt":0.244732655715812,"score_spread":0.2290222560348814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404019843","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026879866,0.0008652281,0.57876617,0.0011807249,0.0006022595,0.0006738747,0.07443296,0.29236528,0.024233598],"genre_scores_gemma":[0.21552587,0.001429597,0.52365756,0.0008554483,0.00026214353,0.0009225394,0.22970174,0.012369948,0.015275139],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99725974,0.00020461695,0.0003952961,0.0006062802,0.001355026,0.00017903604],"domain_scores_gemma":[0.9960961,0.0005050699,0.00024314389,0.0014331904,0.0015038025,0.0002186865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002372078,0.0010273033,0.00079675345,0.005372204,0.00091029546,0.0044128043,0.0021927925,0.00063757366,0.008742429],"category_scores_gemma":[0.007900897,0.00071559206,0.00092112954,0.005111287,0.0004430172,0.0033066282,0.0037468302,0.0014949697,0.00827141],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010235006,0.00054245535,0.026013112,0.0012967492,0.00064538507,0.0009972914,0.0021302614,0.030165669,0.033986434,0.02983972,0.2731829,0.6001764],"study_design_scores_gemma":[0.00013237701,0.00015761111,0.018885465,0.00026212176,0.00019802676,0.0005463342,0.0010285546,0.22409584,0.06973443,0.030371256,0.6543472,0.00024080188],"about_ca_topic_score_codex":0.013969746,"about_ca_topic_score_gemma":0.00939464,"teacher_disagreement_score":0.013969746,"about_ca_system_score_codex":0.001023275,"about_ca_system_score_gemma":0.002853481,"threshold_uncertainty_score":0.02924633},"labels":[],"label_agreement":null},{"id":"W4405889462","doi":"10.1016/j.softx.2024.102020","title":"PyTomography: A python library for medical image reconstruction","year":2024,"lang":"en","type":"article","venue":"SoftwareX","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Python (programming language); Computer science; Programming language; Computer graphics (images); Artificial intelligence; Computer vision","score_opus":0.012503575088024443,"score_gpt":0.31257798616427696,"score_spread":0.3000744110762525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405889462","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020770654,0.00031511244,0.6478595,0.00042861095,0.00015957953,0.0002637502,0.007638412,0.33451316,0.0067448355],"genre_scores_gemma":[0.045303505,0.0011784874,0.724823,0.0015893057,0.00017963847,0.00177883,0.025150841,0.18288623,0.017110137],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99907047,0.00015402261,0.000105176834,0.0001716458,0.0003975763,0.00010122284],"domain_scores_gemma":[0.9983719,0.0006666843,0.00016923457,0.00028184184,0.0003403642,0.00017000455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017703571,0.001586437,0.0012202854,0.0011943864,0.0007130957,0.0020172938,0.0047285464,0.0010678173,0.056701504],"category_scores_gemma":[0.006283158,0.0012158563,0.0018916125,0.001062567,0.0012057883,0.0024826212,0.003528443,0.0036817328,0.027120061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010504175,0.00024900754,0.0033661833,0.0027785199,0.00045355997,0.000969926,0.0007789242,0.030225316,0.023614734,0.039596837,0.60076284,0.29615375],"study_design_scores_gemma":[0.0005329728,0.00017150962,0.0030157957,0.00043335214,0.00010768908,0.0015330693,0.00012433557,0.28480265,0.049545623,0.06994924,0.58945316,0.00033068992],"about_ca_topic_score_codex":0.0021770315,"about_ca_topic_score_gemma":0.0027401366,"teacher_disagreement_score":0.056701504,"about_ca_system_score_codex":0.000676407,"about_ca_system_score_gemma":0.003018001,"threshold_uncertainty_score":0.18968546},"labels":[],"label_agreement":null},{"id":"W4406071020","doi":"10.1016/j.softx.2025.102034","title":"GraphOptima: A graph layout optimization framework for visualizing large networks","year":2025,"lang":"en","type":"article","venue":"SoftwareX","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ted Rogers Centre for Heart Research","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Graph Layout; Graph drawing; Graph; Theoretical computer science; Visualization; Distributed computing; Artificial intelligence","score_opus":0.015078626115208842,"score_gpt":0.3222873554865336,"score_spread":0.30720872937132476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406071020","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00269286,0.00020050282,0.9706981,0.0002946658,0.000059207225,0.00011123568,0.0017740668,0.022521311,0.0016480405],"genre_scores_gemma":[0.04439734,0.0004753481,0.94181395,0.00015898117,0.000037583428,0.0006010603,0.0031292567,0.007921536,0.0014650119],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99919826,0.00027965056,0.00005638662,0.00013738502,0.00026396432,0.000064387685],"domain_scores_gemma":[0.9977181,0.0013219109,0.0001864619,0.00032180847,0.00033272046,0.00011905801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020314974,0.0029901112,0.0012514312,0.003174143,0.0012810322,0.0036231447,0.002619234,0.0014470435,0.018188454],"category_scores_gemma":[0.0075526396,0.0013445569,0.0022560197,0.0019046811,0.00085568335,0.0031919808,0.0029512208,0.0033966913,0.0028913417],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045451373,0.0002974972,0.0036525473,0.0017307398,0.00046102892,0.00044158555,0.0014809679,0.42567986,0.030141206,0.108459294,0.10401627,0.32318458],"study_design_scores_gemma":[0.00011045478,0.00008287581,0.0006781308,0.00014095151,0.00005349436,0.00015685649,0.00019968624,0.8593693,0.01018992,0.0819527,0.046955407,0.00011022338],"about_ca_topic_score_codex":0.0074591744,"about_ca_topic_score_gemma":0.017048346,"teacher_disagreement_score":0.018188454,"about_ca_system_score_codex":0.0012890557,"about_ca_system_score_gemma":0.0021639913,"threshold_uncertainty_score":0.06084639},"labels":[],"label_agreement":null},{"id":"W4406852901","doi":"10.1016/j.softx.2025.102057","title":"EduGuard RetainX: An advanced analytical dashboard for predicting and improving student retention in tertiary education","year":2025,"lang":"en","type":"article","venue":"SoftwareX","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Morgan State University; Information and Communications Technology Council; Indiana State University","keywords":"Dashboard; Computer science; Higher education; Multimedia; Software engineering; Political science","score_opus":0.007763282381141738,"score_gpt":0.3151539000634251,"score_spread":0.3073906176822834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406852901","genre_codex":"empirical","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7584038,0.0014139136,0.07564541,0.004236178,0.0009947247,0.0018094158,0.03808615,0.093751155,0.02565931],"genre_scores_gemma":[0.82335025,0.0011500487,0.12152772,0.0009032825,0.00029283756,0.0015472504,0.027537094,0.002088775,0.021602707],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975957,0.000617337,0.00028090418,0.00039795245,0.0010106162,0.000097433105],"domain_scores_gemma":[0.9864677,0.007433012,0.0018146466,0.001086091,0.0023423017,0.00085622986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048336014,0.0011902228,0.0006849516,0.0029658363,0.00053037325,0.0024954516,0.0011263647,0.0006492411,0.008033777],"category_scores_gemma":[0.020996377,0.00032476606,0.00048026358,0.0016688156,0.0002627416,0.0022619232,0.0024842918,0.001005882,0.002729841],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014374843,0.0010317656,0.15741076,0.0008420495,0.0002520873,0.00016402244,0.001400745,0.0035814592,0.0035467502,0.0010662212,0.0807232,0.74854356],"study_design_scores_gemma":[0.00080758246,0.010096881,0.5672008,0.0017949358,0.0008073823,0.0006921124,0.0060927765,0.17697704,0.02768103,0.0096724555,0.1974359,0.00074106304],"about_ca_topic_score_codex":0.0028605217,"about_ca_topic_score_gemma":0.0052894843,"teacher_disagreement_score":0.008033777,"about_ca_system_score_codex":0.00043366995,"about_ca_system_score_gemma":0.0011281198,"threshold_uncertainty_score":0.026875675},"labels":[],"label_agreement":null},{"id":"W4407720618","doi":"10.1016/j.softx.2025.102087","title":"cpp11armadillo: An R package to use the Armadillo C++ library","year":2025,"lang":"en","type":"article","venue":"SoftwareX","topic":"Data Analysis with R","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Global Affairs Canada","funders":"Linux Foundation","keywords":"Armadillo; Computer science; Programming language; World Wide Web; Geology","score_opus":0.014402791148472099,"score_gpt":0.2581493617631274,"score_spread":0.24374657061465532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407720618","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017077116,0.0018907883,0.5165568,0.0011782323,0.0011275333,0.00026649036,0.11290958,0.354115,0.010247756],"genre_scores_gemma":[0.019184541,0.00234249,0.41125455,0.0029837894,0.000637923,0.0033820097,0.1181634,0.4244818,0.017569399],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963898,0.0014179682,0.00026386327,0.00079293444,0.00087683584,0.00025858628],"domain_scores_gemma":[0.9892663,0.0065794587,0.000913412,0.0014396668,0.0013739492,0.00042723355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005424702,0.0033643767,0.003157048,0.0027989352,0.0010518593,0.00440089,0.005093225,0.0019407703,0.15442234],"category_scores_gemma":[0.0293875,0.002662101,0.0028390328,0.0025400342,0.0010996273,0.0028469204,0.0044936053,0.005164256,0.14050049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031876037,0.000037318383,0.001721614,0.0021976216,0.0006706443,0.00028568512,0.00019175492,0.006253272,0.0038841967,0.013330622,0.9143385,0.056769963],"study_design_scores_gemma":[0.00030948184,0.000116299096,0.0029343336,0.0005490483,0.00032341038,0.00060670276,0.000055164077,0.024445232,0.009155292,0.035985403,0.9252371,0.0002824965],"about_ca_topic_score_codex":0.0033018228,"about_ca_topic_score_gemma":0.0038494328,"teacher_disagreement_score":0.15442234,"about_ca_system_score_codex":0.00077810267,"about_ca_system_score_gemma":0.003788996,"threshold_uncertainty_score":0.5165942},"labels":[],"label_agreement":null},{"id":"W4407961907","doi":"10.1016/j.softx.2025.102101","title":"Wave-DNA: A software tool for simulating nonlinear acoustic waves emitted by moving boundaries","year":2025,"lang":"en","type":"article","venue":"SoftwareX","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Software; Acoustics; Computer science; Nonlinear system; Physics; Programming language","score_opus":0.01140745970165917,"score_gpt":0.2562928205332466,"score_spread":0.2448853608315874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407961907","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02491027,0.00025221563,0.9083636,0.00014604084,0.00016358137,0.00017750562,0.0017462354,0.059172302,0.0050682253],"genre_scores_gemma":[0.22094566,0.0008148667,0.7361796,0.0002953515,0.00008173139,0.0017397753,0.007080313,0.018235855,0.014626812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996716,0.00005220566,0.000036074587,0.000048727525,0.00015532401,0.00003614653],"domain_scores_gemma":[0.99919635,0.00051197817,0.000049935585,0.000057166424,0.00013452875,0.00005012051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007798731,0.0010543846,0.0008589264,0.0006212445,0.00049761886,0.0008702489,0.002556626,0.001414781,0.0109865805],"category_scores_gemma":[0.0023474912,0.00063673255,0.0008158564,0.00048399897,0.00061896583,0.0011088337,0.0013351128,0.0016530558,0.0025432815],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085087126,0.00041939682,0.005964393,0.0020971561,0.000439444,0.001261091,0.0014514764,0.5112624,0.085084364,0.06285628,0.06951938,0.25879374],"study_design_scores_gemma":[0.00016576733,0.00008522593,0.00046201624,0.00007330537,0.000031844178,0.0001875102,0.000044694967,0.925954,0.02567292,0.007525342,0.039739672,0.000057721114],"about_ca_topic_score_codex":0.0027829634,"about_ca_topic_score_gemma":0.0021587866,"teacher_disagreement_score":0.0109865805,"about_ca_system_score_codex":0.00041106634,"about_ca_system_score_gemma":0.0013577382,"threshold_uncertainty_score":0.036753714},"labels":[],"label_agreement":null},{"id":"W4408555746","doi":"10.1016/j.softx.2025.102126","title":"opstool: A Python library for OpenSeesPy analysis automation, streamlined pre- and post-processing, and enhanced data visualization","year":2025,"lang":"en","type":"article","venue":"SoftwareX","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Nederlandse Onderzoekschool Voor Astronomie","keywords":"Python (programming language); Computer science; Visualization; Automation; Data visualization; Computer graphics (images); World Wide Web; Programming language; Software engineering; Data mining; Engineering","score_opus":0.013961853242197885,"score_gpt":0.3113927327485763,"score_spread":0.2974308795063784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408555746","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033833256,0.00014224851,0.57816535,0.00036948745,0.0002179292,0.00023772132,0.012306666,0.39746737,0.0077098696],"genre_scores_gemma":[0.061288543,0.00077317865,0.58963925,0.0014692852,0.0002490264,0.0027198025,0.05113689,0.27360344,0.019120557],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985019,0.00020617641,0.00012988386,0.00025890395,0.0006917959,0.00021136043],"domain_scores_gemma":[0.99757236,0.0008779878,0.00023410987,0.00049610174,0.000572446,0.00024694478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020564515,0.002301865,0.0012846855,0.0018668915,0.0011880797,0.0027313526,0.004501505,0.0009323428,0.0571932],"category_scores_gemma":[0.0067819688,0.0013258595,0.0023265537,0.0014500736,0.001417975,0.0036231156,0.0055641653,0.003483497,0.02314277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008390497,0.00032672918,0.0061842334,0.0025673865,0.00046918864,0.0010177551,0.0013370287,0.038539898,0.03132791,0.043940518,0.6647233,0.208727],"study_design_scores_gemma":[0.00036600116,0.00012327837,0.0041784775,0.00032741696,0.000106935964,0.00066315936,0.00020574816,0.28678927,0.055452872,0.073953904,0.5774108,0.00042209818],"about_ca_topic_score_codex":0.0034561765,"about_ca_topic_score_gemma":0.0049652387,"teacher_disagreement_score":0.0571932,"about_ca_system_score_codex":0.0008031471,"about_ca_system_score_gemma":0.0036618342,"threshold_uncertainty_score":0.19133031},"labels":[],"label_agreement":null},{"id":"W4409712345","doi":"10.1016/j.softx.2025.102140","title":"DREAMS: A python framework for training deep learning models on EEG data with model card reporting for medical applications","year":2025,"lang":"en","type":"article","venue":"SoftwareX","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Horizon 2020; Horizon 2020 Framework Programme; Réseau de cancérologie Rossy","keywords":"Python (programming language); Computer science; Electroencephalography; Deep learning; Artificial intelligence; Machine learning; Multimedia; Programming language; Psychology","score_opus":0.12761542557351696,"score_gpt":0.3695897614337993,"score_spread":0.24197433586028233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409712345","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024043932,0.00017454122,0.5599413,0.00040136764,0.00012400324,0.00026074683,0.011873918,0.4226626,0.0021571266],"genre_scores_gemma":[0.106473304,0.0009681515,0.6966665,0.0018360885,0.00016539427,0.0034827688,0.051990665,0.12631583,0.012101272],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99869883,0.00032039193,0.00019292303,0.00025894193,0.0004305317,0.00009847842],"domain_scores_gemma":[0.9967963,0.0017193429,0.00027679195,0.00064043194,0.0004077816,0.00015935807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030149966,0.0021091579,0.0007250914,0.001206608,0.00045062453,0.0018264271,0.003927029,0.001100156,0.034895256],"category_scores_gemma":[0.012779595,0.0014490458,0.0018369744,0.00086439983,0.0010305626,0.0024373701,0.0035372002,0.003419628,0.012960031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012043124,0.00046329465,0.006430336,0.003103588,0.00060832355,0.0010647173,0.00077571825,0.0987864,0.011946402,0.043005027,0.50322145,0.32939038],"study_design_scores_gemma":[0.0005258049,0.00015076075,0.0023281428,0.0003790181,0.000076005395,0.0005357528,0.00007709805,0.7458817,0.021578899,0.06940191,0.1588686,0.00019639744],"about_ca_topic_score_codex":0.0036228728,"about_ca_topic_score_gemma":0.005711957,"teacher_disagreement_score":0.034895256,"about_ca_system_score_codex":0.0009343641,"about_ca_system_score_gemma":0.003207771,"threshold_uncertainty_score":0.11673629},"labels":[],"label_agreement":null},{"id":"W4411025038","doi":"10.1016/j.softx.2025.102206","title":"sivirep: A package for strengthening epidemiological surveillance and report generation—Use case in Colombia","year":2025,"lang":"en","type":"article","venue":"SoftwareX","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Epidemiological surveillance; Computer science; Epidemiology; Computer security; Medicine","score_opus":0.07144440398088539,"score_gpt":0.38668215809119244,"score_spread":0.3152377541103071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411025038","genre_codex":"dataset","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02388413,0.0015411384,0.27873972,0.003142621,0.0005930047,0.0029754192,0.3888366,0.27994958,0.020337917],"genre_scores_gemma":[0.11373893,0.0017117722,0.5339674,0.0013550986,0.00028861812,0.012338801,0.24203321,0.08465509,0.009911027],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99512595,0.002351979,0.00077244797,0.000793626,0.0006997352,0.00025619694],"domain_scores_gemma":[0.9725969,0.019996377,0.0022489552,0.0025191116,0.0020863921,0.00055228826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008953203,0.0019873902,0.0012237121,0.004361502,0.00083330256,0.0031369524,0.0018008797,0.0008048606,0.051509783],"category_scores_gemma":[0.064381234,0.0015331571,0.001830115,0.0025682172,0.00053114834,0.0016482986,0.0035724572,0.0014732637,0.014942944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013549612,0.00013273544,0.051324084,0.0045854733,0.0009665494,0.0010620158,0.0025014428,0.011990007,0.0031850915,0.008945726,0.70429754,0.20965427],"study_design_scores_gemma":[0.0010907932,0.00020352063,0.03707203,0.0017578547,0.00059898297,0.0013165761,0.00081258547,0.051244363,0.00919131,0.015283718,0.88098776,0.00044047995],"about_ca_topic_score_codex":0.017311497,"about_ca_topic_score_gemma":0.020785624,"teacher_disagreement_score":0.051509783,"about_ca_system_score_codex":0.0013435903,"about_ca_system_score_gemma":0.0046298257,"threshold_uncertainty_score":0.17231739},"labels":[],"label_agreement":null},{"id":"W4411685933","doi":"10.1016/j.softx.2025.102238","title":"Rational-RC: A Python package for probabilistic life-cycle deterioration modelling of reinforced concrete structures","year":2025,"lang":"en","type":"article","venue":"SoftwareX","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina; University of Saskatchewan","funders":"Mitacs; University of Saskatchewan","keywords":"Python (programming language); Reinforced concrete; Computer science; Probabilistic logic; Programming language; Structural engineering; Artificial intelligence; Engineering","score_opus":0.019017815886778762,"score_gpt":0.23771771877149028,"score_spread":0.21869990288471153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411685933","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008866296,0.0003793149,0.7786034,0.00037116808,0.00017947359,0.00023941923,0.019309644,0.1773083,0.014743054],"genre_scores_gemma":[0.17456184,0.0015826464,0.6806148,0.0008998979,0.00019734152,0.0024567482,0.037547108,0.077069126,0.025070434],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999607,0.0000711101,0.00004083965,0.0000704705,0.00015648585,0.00005407388],"domain_scores_gemma":[0.9991738,0.00041334063,0.000088191824,0.00009834521,0.00017031905,0.00005601757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093905185,0.0013832564,0.0010533636,0.00074543204,0.00056048954,0.0012175408,0.0034345146,0.0012424854,0.034618758],"category_scores_gemma":[0.0032481719,0.0009749969,0.0020551172,0.0007004314,0.0006909164,0.0016869974,0.0018193957,0.002415635,0.009846164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034400696,0.00032042948,0.006476154,0.0032455605,0.0005280269,0.000940499,0.00064051617,0.53152955,0.0139335515,0.100299254,0.23048244,0.111260116],"study_design_scores_gemma":[0.00014543698,0.000042134165,0.0010865425,0.00012998834,0.000054267828,0.00024206772,0.000038018894,0.82523346,0.0055781924,0.034878556,0.13248408,0.00008720325],"about_ca_topic_score_codex":0.0056861714,"about_ca_topic_score_gemma":0.006346026,"teacher_disagreement_score":0.034618758,"about_ca_system_score_codex":0.00068665587,"about_ca_system_score_gemma":0.0019764889,"threshold_uncertainty_score":0.11581129},"labels":[],"label_agreement":null},{"id":"W4412620736","doi":"10.1016/j.softx.2025.102281","title":"DAUD: A data driven algorithm to find discrete approximations of unknown continuous distributions","year":2025,"lang":"en","type":"article","venue":"SoftwareX","topic":"Control Systems and Identification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Approximations of π; Algorithm; Computer science; Mathematics; Applied mathematics","score_opus":0.010784325560019627,"score_gpt":0.2520407292371182,"score_spread":0.24125640367709855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412620736","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021487353,0.00009305715,0.9964059,0.00005434455,0.000026890064,0.00004108778,0.000055848108,0.00090250577,0.0002716145],"genre_scores_gemma":[0.06825187,0.00011066756,0.9295118,0.00011911251,0.00003106557,0.00030096192,0.00038787944,0.00023188344,0.0010545969],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993236,0.0001671381,0.000045615554,0.00014437942,0.0002593331,0.00005991713],"domain_scores_gemma":[0.9975338,0.0017289545,0.00015211906,0.00015671809,0.00034661233,0.00008173404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002067132,0.0011104156,0.001299141,0.0025105989,0.00080454885,0.0015977093,0.0024236273,0.0016417126,0.0031550769],"category_scores_gemma":[0.008109617,0.000912578,0.00090802583,0.0015376075,0.0011435508,0.0012664318,0.0024713413,0.0018746315,0.0011864462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004636447,0.00013742733,0.003233336,0.00035566068,0.00012847291,0.00016587904,0.00023803831,0.5278093,0.005436118,0.02648169,0.008249423,0.42730102],"study_design_scores_gemma":[0.000025661198,0.000018024595,0.000071109665,0.000010253692,0.0000033138697,0.00003246027,0.000015375612,0.993168,0.0008581567,0.0040419446,0.0017494104,0.000006157495],"about_ca_topic_score_codex":0.0046807695,"about_ca_topic_score_gemma":0.006102699,"teacher_disagreement_score":0.0046807695,"about_ca_system_score_codex":0.0009925512,"about_ca_system_score_gemma":0.002058338,"threshold_uncertainty_score":0.010932207},"labels":[],"label_agreement":null},{"id":"W4412636595","doi":"10.1016/j.softx.2025.102280","title":"Frozen-ground-fem: A practical and open Python 3 package for thermo-hydro-mechanical coupled modelling of soils in cold regions","year":2025,"lang":"en","type":"article","venue":"SoftwareX","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Python (programming language); Finite element method; R package; Open source; Soil water; Computer science; Software package; Computational science; Environmental science; Software; Operating system; Soil science; Structural engineering; Engineering","score_opus":0.10034811682323996,"score_gpt":0.3145271807753028,"score_spread":0.21417906395206282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412636595","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011216333,0.00021179809,0.8545822,0.00032125867,0.00018662974,0.00023195897,0.0105511295,0.109659575,0.013039124],"genre_scores_gemma":[0.1516732,0.00084905635,0.70148677,0.0009190439,0.00015518165,0.002455342,0.030898899,0.08506788,0.026494648],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950767,0.00008804167,0.000045374025,0.000074079435,0.00020267349,0.0000821171],"domain_scores_gemma":[0.9992374,0.00029827104,0.00007497264,0.000104114115,0.0002134957,0.000071855764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010749989,0.001157923,0.00077533966,0.00054719625,0.0005811487,0.0011516667,0.0027309307,0.0007731667,0.026016137],"category_scores_gemma":[0.00224953,0.00081570714,0.0015212138,0.0006260128,0.0008882056,0.0014792088,0.0022201196,0.0019462152,0.007862117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047126203,0.0003457191,0.007722515,0.0023374294,0.00040439016,0.0010327321,0.0011928453,0.3573218,0.036753226,0.07316456,0.30068234,0.21857122],"study_design_scores_gemma":[0.00019076635,0.00009793792,0.0028192408,0.00022627272,0.00006363742,0.0003295115,0.00010586525,0.6873114,0.020292722,0.038632132,0.24979216,0.00013834002],"about_ca_topic_score_codex":0.003000074,"about_ca_topic_score_gemma":0.0035850634,"teacher_disagreement_score":0.026016137,"about_ca_system_score_codex":0.00045109625,"about_ca_system_score_gemma":0.0021496743,"threshold_uncertainty_score":0.087032676},"labels":[],"label_agreement":null},{"id":"W4415547538","doi":"10.1016/j.softx.2025.102423","title":"CardioMark: An open-source MATLAB toolbox for ECG annotation for machine learning and academic research","year":2025,"lang":"en","type":"article","venue":"SoftwareX","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Annotation; Toolbox; Modular design; MATLAB; Personalization; Deep learning","score_opus":0.09587188627277632,"score_gpt":0.4614139688756285,"score_spread":0.3655420826028522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415547538","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002475769,0.0008962242,0.7605966,0.0003270617,0.00030628077,0.00022439884,0.009815408,0.21539395,0.009964326],"genre_scores_gemma":[0.04970141,0.0019027398,0.7750526,0.0014481136,0.0004602115,0.0024673494,0.032487735,0.09026893,0.046210926],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999326,0.00011012625,0.000101149715,0.00014022397,0.00027734786,0.000045249373],"domain_scores_gemma":[0.997926,0.0009871889,0.00021903434,0.0001857136,0.00055488065,0.00012720695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010601176,0.0012600559,0.0007807937,0.0017287312,0.00025852377,0.0013841545,0.0017026683,0.0009526954,0.115657605],"category_scores_gemma":[0.0061181923,0.0005633243,0.0005519862,0.00087163347,0.00034746106,0.0011304832,0.0017254864,0.0012779642,0.0554325],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069819717,0.000115047995,0.0014619502,0.0018852187,0.00012836464,0.0006589928,0.00026925266,0.0071902876,0.03065091,0.0075973915,0.42785645,0.5214881],"study_design_scores_gemma":[0.00061660906,0.00037700537,0.0069816043,0.0009866451,0.00012605262,0.0038321381,0.00012248165,0.12961088,0.07082499,0.031722326,0.7544863,0.00031289645],"about_ca_topic_score_codex":0.00055988086,"about_ca_topic_score_gemma":0.0010884668,"teacher_disagreement_score":0.115657605,"about_ca_system_score_codex":0.0002629644,"about_ca_system_score_gemma":0.0008848146,"threshold_uncertainty_score":0.38691318},"labels":[],"label_agreement":null},{"id":"W4416444018","doi":"10.1016/j.softx.2025.102445","title":"SegEv: semantic segmentation performance verification and evaluation software","year":2025,"lang":"en","type":"article","venue":"SoftwareX","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Science and Technology Department of Henan Province; Natural Science Foundation of Chongqing; Chinese Aeronautical Establishment; Zhengzhou University; National Natural Science Foundation of China","keywords":"Segmentation; Visualization; Software deployment; Software; Modular design; Key (lock); Ground truth; Feature (linguistics)","score_opus":0.017213872339618342,"score_gpt":0.2895209092282574,"score_spread":0.27230703688863905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416444018","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025709536,0.00027021524,0.6559259,0.00019481889,0.00013579658,0.0004871664,0.006651191,0.30590206,0.004723301],"genre_scores_gemma":[0.20982595,0.00034272444,0.71166474,0.00033043238,0.00006247449,0.001931899,0.03170212,0.03781029,0.0063293623],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99655354,0.00074338727,0.00042589733,0.0005370665,0.0015695975,0.00017057809],"domain_scores_gemma":[0.9943831,0.0019362344,0.00042488732,0.0010885563,0.0020341978,0.00013309716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065373327,0.0022205927,0.0013037937,0.0031227013,0.00052701734,0.002269987,0.00315542,0.0010676745,0.010871053],"category_scores_gemma":[0.014638287,0.0010923241,0.0014138616,0.0016361931,0.0007678183,0.0024911952,0.0019826244,0.0012046226,0.004522168],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024227076,0.00054411206,0.0072625354,0.001486904,0.0007134441,0.00040652388,0.0005773774,0.14509135,0.0425732,0.01685157,0.19843507,0.5836352],"study_design_scores_gemma":[0.00032275653,0.000494009,0.004741507,0.00014277898,0.00012606186,0.00037644687,0.0001389732,0.8377104,0.10045913,0.0101573905,0.04514035,0.0001902432],"about_ca_topic_score_codex":0.005957555,"about_ca_topic_score_gemma":0.0041624713,"teacher_disagreement_score":0.010871053,"about_ca_system_score_codex":0.0013122027,"about_ca_system_score_gemma":0.0022386187,"threshold_uncertainty_score":0.036367297},"labels":[],"label_agreement":null},{"id":"W4416936320","doi":"10.1016/j.softx.2025.102471","title":"CoDeF: A web-based education platform for system-level design of unmanned vehicles","year":2025,"lang":"en","type":"article","venue":"SoftwareX","topic":"Systems Engineering Methodologies and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nexen (Canada)","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; Korea Aerospace Research Institute","keywords":"Deliverable; Bridging (networking); Extensibility; Process (computing); Engineering design process; Systems design; Collaborative engineering; Design process","score_opus":0.060126884018409446,"score_gpt":0.28656506835993584,"score_spread":0.2264381843415264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416936320","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009082864,0.00016889894,0.94710225,0.0003456666,0.000107233354,0.0004627379,0.00043973932,0.032041665,0.010248896],"genre_scores_gemma":[0.073782295,0.0005282278,0.89364207,0.00032471685,0.00006329574,0.0011280264,0.0027030362,0.006146722,0.021681624],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99922514,0.00014302619,0.000048584683,0.00010335633,0.00036344322,0.000116503696],"domain_scores_gemma":[0.9983718,0.00055748963,0.00012229457,0.00025770758,0.0003566275,0.00033413092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014195585,0.001246486,0.00040192483,0.0012513609,0.00064880226,0.0013368381,0.0022413342,0.001871954,0.014805229],"category_scores_gemma":[0.00407566,0.00066763855,0.0010201012,0.0004946313,0.0005867855,0.0018833544,0.00226175,0.0025458047,0.005484986],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036600555,0.001512718,0.0030674767,0.0012045652,0.00010204893,0.0011949193,0.0028773826,0.06427319,0.08621716,0.04875591,0.077272505,0.7131561],"study_design_scores_gemma":[0.00035107142,0.00069190864,0.0035256362,0.000598052,0.000058899885,0.0011993097,0.00033144822,0.22913504,0.035717912,0.04167681,0.68649817,0.00021574475],"about_ca_topic_score_codex":0.0025094622,"about_ca_topic_score_gemma":0.003605545,"teacher_disagreement_score":0.014805229,"about_ca_system_score_codex":0.0007705325,"about_ca_system_score_gemma":0.0027376541,"threshold_uncertainty_score":0.04952842},"labels":[],"label_agreement":null},{"id":"W7086876872","doi":"10.1016/j.softx.2025.102392","title":"VaSP: Vascular Fluid–Structure Interaction Pipeline","year":2025,"lang":"en","type":"article","venue":"SoftwareX","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Horizon 2020; Natural Sciences and Engineering Research Council of Canada","keywords":"Python (programming language); Software; Graphical user interface; Automation; Pipeline (software); Software tool; Extensibility","score_opus":0.006797480510790403,"score_gpt":0.23055511071702278,"score_spread":0.22375763020623238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7086876872","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0054016453,0.0003867191,0.5825244,0.00061367056,0.00028744715,0.0003948741,0.017382702,0.38385215,0.009156269],"genre_scores_gemma":[0.12469438,0.0016503411,0.5763032,0.0025936756,0.0004080687,0.004001353,0.091289334,0.17374101,0.025318697],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99932146,0.000111267145,0.000059462916,0.00014112997,0.0002680747,0.000098696415],"domain_scores_gemma":[0.99904865,0.00036016648,0.000073088246,0.00012627784,0.0002679795,0.00012377117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017382138,0.0018207957,0.0011568883,0.0011171205,0.00088396686,0.0019899085,0.003749091,0.0010729914,0.045613192],"category_scores_gemma":[0.0039734226,0.0012389614,0.001942032,0.0005995976,0.00064927945,0.0017292835,0.003262997,0.0032567438,0.019987402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011155113,0.00022377263,0.00536741,0.0021774683,0.0004917417,0.0010552424,0.00092592626,0.041215476,0.04064981,0.036100525,0.6909654,0.17971171],"study_design_scores_gemma":[0.00064089603,0.00020745178,0.0038841998,0.00025026588,0.00015252136,0.00092483166,0.00011876709,0.30871096,0.055637892,0.046621613,0.58247507,0.00037553956],"about_ca_topic_score_codex":0.002451683,"about_ca_topic_score_gemma":0.0020927098,"teacher_disagreement_score":0.045613192,"about_ca_system_score_codex":0.00060699513,"about_ca_system_score_gemma":0.0030379782,"threshold_uncertainty_score":0.15259135},"labels":[],"label_agreement":null}]}