{"meta":{"query_hash":"e05e772777bd","filters":{"venue":"Current Protocols in Bioinformatics"},"cohort_total":32,"direct_labels_cover":0,"predictions_cover":32,"exported":32,"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/e05e772777bd","api":"https://metacan.xera.ac/api/v1/cohort?venue=Current+Protocols+in+Bioinformatics"},"results":[{"id":"W1491036646","doi":"10.1002/0471250953.bi0809s12","title":"Searching, Viewing, and Visualizing Data in the Biomolecular Interaction Network Database (<scp>BIND</scp>)","year":2005,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"","keywords":"Computer science; Metadata; Visualization; Software; The Internet; Interaction network; Database; World Wide Web; Information retrieval; Data mining; Chemistry; Programming language","score_opus":0.06634139380135394,"score_gpt":0.3835265003467553,"score_spread":0.31718510654540133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1491036646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4882558,0.01248702,0.29980528,0.0010998299,0.0019126144,0.18165113,0.00062431936,0.00018788714,0.013976102],"genre_scores_gemma":[0.8046349,0.0057106554,0.12584199,0.006304106,0.0052706986,0.0398326,0.012008765,0.00025038217,0.00014587789],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997985,0.0001362676,0.00080393563,0.0002856578,0.00026110077,0.00052806013],"domain_scores_gemma":[0.99847686,0.000071365765,0.00027728447,0.0010519641,0.00003464302,0.0000878963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020356372,0.00025155325,0.00021742591,0.00011457244,0.00013118522,0.00022817602,0.0008900535,0.00013876776,0.0000026910648],"category_scores_gemma":[0.00019779599,0.00020472257,0.000044649478,0.00028625395,0.00010014237,0.00010643846,0.00091172097,0.00049051334,0.000016775166],"study_design_candidate":"design_other","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":[0.00012495364,0.0008980569,0.014766462,0.0024074754,0.000104559665,0.000011480829,0.0108813895,0.0043858993,0.0028036959,0.0029905254,0.047980033,0.91264546],"study_design_scores_gemma":[0.0012660457,0.00015882614,0.0007853725,0.0006827092,0.000013953003,0.000045699457,0.00078337005,0.19579944,0.0005418982,0.00018329869,0.79952043,0.0002189473],"about_ca_topic_score_codex":0.000008924611,"about_ca_topic_score_gemma":0.0000827769,"teacher_disagreement_score":0.91242653,"about_ca_system_score_codex":0.000033291217,"about_ca_system_score_gemma":0.00008600932,"threshold_uncertainty_score":0.8348344},"labels":[],"label_agreement":null},{"id":"W1492545524","doi":"10.1002/0471250953.bi1302s7","title":"Finding Protein Sequences Using PROWL","year":2004,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Manitoba","funders":"","keywords":"Computer science; Protocol (science); Mass spectrometry; Tandem mass spectrometry; Component (thermodynamics); Identification (biology); Chemistry; Physics; Chromatography; Biology","score_opus":0.0681208844769303,"score_gpt":0.3529035527846208,"score_spread":0.2847826683076905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1492545524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9672849,0.00025724623,0.0030251462,0.000029538667,0.00011452215,0.028690815,0.000016980073,0.000007439521,0.0005734002],"genre_scores_gemma":[0.9248327,0.000040825333,0.04866158,0.00005183711,0.00018205505,0.02614801,0.000027906719,0.000026893395,0.00002821039],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99896216,0.000017265978,0.00041063782,0.00017120056,0.00013599671,0.00030272646],"domain_scores_gemma":[0.9994904,0.0000029565979,0.00015532749,0.00024515545,0.00005367784,0.000052473257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021680845,0.00017579638,0.00015379117,0.00006892957,0.000096146236,0.00004811538,0.00022914389,0.0000854705,0.0000025756985],"category_scores_gemma":[0.000058632646,0.00015730121,0.000055671488,0.00014015031,0.00008622444,0.0000043588116,0.0001634868,0.00011177903,0.000007656509],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014055171,0.00062787556,0.047348995,0.0022082406,0.00010233525,0.0000058120568,0.0028003987,0.01289206,0.8862799,0.003842403,0.00012575691,0.04362572],"study_design_scores_gemma":[0.0073940265,0.0016406962,0.007130219,0.0029189885,0.00003401997,0.000050828265,0.0011581804,0.0048086285,0.8803289,0.009703537,0.082676694,0.0021552765],"about_ca_topic_score_codex":0.0000064005358,"about_ca_topic_score_gemma":0.000011043169,"teacher_disagreement_score":0.082550935,"about_ca_system_score_codex":0.00005250056,"about_ca_system_score_gemma":0.00019186854,"threshold_uncertainty_score":0.6414557},"labels":[],"label_agreement":null},{"id":"W1500717152","doi":"10.1002/0471250953.bi1101s36","title":"An Introduction to the Informatics of “Next‐Generation” Sequencing","year":2011,"lang":"en","type":"review","venue":"Current Protocols in Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"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 Institute for Cancer Research","funders":"","keywords":"Massive parallel sequencing; DNA sequencing; Computer science; Software; Informatics; Throughput; Data science; Engineering; Biology; Operating system; Genetics; Wireless; DNA","score_opus":0.16434144384730348,"score_gpt":0.37970401405631937,"score_spread":0.2153625702090159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1500717152","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00023174871,0.9198808,0.0041963006,0.000021785016,0.0009301833,0.07423671,0.00017268334,0.000009495907,0.00032026926],"genre_scores_gemma":[0.00002969298,0.95758975,0.0084438315,0.000035694586,0.0012598326,0.032217484,0.00037155123,0.000035238954,0.000016948294],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997862,0.00008855273,0.0014372917,0.00018583196,0.00015602456,0.00027031126],"domain_scores_gemma":[0.9981036,0.000010590155,0.0007079454,0.0009476656,0.00015595478,0.00007422773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064471836,0.00035357484,0.00065627997,0.00016338543,0.000085370506,0.00006103191,0.0006649349,0.00020590915,0.0000058204996],"category_scores_gemma":[0.000105085746,0.00024150692,0.00017655191,0.00027601005,0.00007417043,0.000008218353,0.0002596168,0.00022634534,0.00001608769],"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":[0.000007131297,0.00005688502,0.000011204747,0.007785222,0.000052010466,4.650659e-8,0.0012122955,0.00016417712,0.00010400918,0.00032757423,0.002022831,0.98825663],"study_design_scores_gemma":[0.00011605763,0.00028661411,0.0000023423706,0.0010016543,0.00005773554,0.000008048522,0.00016559332,0.00046561263,0.00027978147,0.00001263937,0.99732184,0.00028207395],"about_ca_topic_score_codex":0.0000031680906,"about_ca_topic_score_gemma":0.0000218396,"teacher_disagreement_score":0.99529904,"about_ca_system_score_codex":0.000062630985,"about_ca_system_score_gemma":0.00036051284,"threshold_uncertainty_score":0.98483664},"labels":[],"label_agreement":null},{"id":"W1518921386","doi":"10.1002/0471250953.bi1009s37","title":"The Bluejay Genome Browser","year":2012,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","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":"University of Calgary","funders":"Genome Alberta; Genome Canada","keywords":"Genome browser; Genome; Computational biology; Biology; Computer science; World Wide Web; Genetics; Genomics; Gene","score_opus":0.032767545779563347,"score_gpt":0.3188276550412746,"score_spread":0.2860601092617112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1518921386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84194106,0.018161261,0.003613132,0.00039632808,0.0025000572,0.11155309,0.00011574334,0.00003520722,0.021684142],"genre_scores_gemma":[0.92019546,0.0017529675,0.005220553,0.0003267104,0.0014322757,0.070481114,0.00008075939,0.000059348706,0.00045082657],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989596,0.000029229674,0.00036574603,0.00009353489,0.0001205304,0.00043137147],"domain_scores_gemma":[0.9993704,0.000017219421,0.00011403914,0.00037540667,0.000045993107,0.00007693253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004306494,0.00014991873,0.000111145564,0.000026984173,0.00015425077,0.000045331537,0.00029673544,0.000066722576,0.0000043613454],"category_scores_gemma":[0.00006434137,0.00010250492,0.0000623489,0.00008583361,0.00009534141,0.0000032002317,0.00023448515,0.00010875983,0.00003963537],"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":[0.0004926109,0.0014477709,0.44810238,0.0013572394,0.00036180043,9.808492e-7,0.0077761677,0.00048538417,0.10832368,0.0107737,0.02127845,0.39959982],"study_design_scores_gemma":[0.00045840113,0.00009179245,0.02800058,0.000024312529,0.000004877058,0.0000042980573,0.00017008334,0.00011608308,0.0042283,0.00012152349,0.9665698,0.00020994524],"about_ca_topic_score_codex":8.184857e-7,"about_ca_topic_score_gemma":0.0000055322344,"teacher_disagreement_score":0.94529134,"about_ca_system_score_codex":0.000018382678,"about_ca_system_score_gemma":0.000041087726,"threshold_uncertainty_score":0.41800293},"labels":[],"label_agreement":null},{"id":"W1519422750","doi":"10.1002/0471250953.bi0816s39","title":"Using ProHits to Store, Annotate, and Analyze Affinity Purification–Mass Spectrometry (AP‐MS) Data","year":2012,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer; University of Toronto; Ontario Institute for Cancer Research; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"National Center for Research Resources; National Institute of General Medical Sciences; Canadian Institutes of Health Research; National Institutes of Health; National University of Singapore; Canada Research Chairs; Wellcome Trust","keywords":"Computer science; Software; Mass spectrometry; Instrumentation (computer programming); Proteomics; Data mining; Protocol (science); Database; Operating system; Chemistry; Chromatography","score_opus":0.1357205422308874,"score_gpt":0.4157277000854843,"score_spread":0.28000715785459696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1519422750","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.106160656,0.00036857786,0.7890904,0.0001925189,0.00012411663,0.0936019,0.0012875143,0.00055462494,0.008619685],"genre_scores_gemma":[0.0263743,0.00005748462,0.9318944,0.000038822003,0.00020606993,0.041050248,0.00030782513,0.000036888792,0.000033970835],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99837095,0.000013835409,0.0006647993,0.0002577099,0.0002356286,0.00045706079],"domain_scores_gemma":[0.9981692,0.000042930646,0.0003179143,0.0011761987,0.000076088974,0.00021766787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004630075,0.00023275093,0.00024886368,0.00017605702,0.00013756043,0.00010014448,0.0006720548,0.00010982053,0.00005469948],"category_scores_gemma":[0.00015732516,0.00022751265,0.0000274858,0.000574772,0.000068648944,0.000977853,0.00044097909,0.00037851877,0.000020040176],"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":[0.00041271801,0.005066814,0.37531635,0.016780775,0.00019350115,0.000003486806,0.007457374,0.0008138441,0.20268501,0.039428107,0.008781588,0.3430604],"study_design_scores_gemma":[0.0032909103,0.00017849576,0.007878161,0.0031860955,0.00013559958,0.00007088361,0.0011012048,0.15143946,0.3739314,0.009017844,0.44613627,0.0036336738],"about_ca_topic_score_codex":0.0000041455983,"about_ca_topic_score_gemma":0.0000016811177,"teacher_disagreement_score":0.43735465,"about_ca_system_score_codex":0.00015869632,"about_ca_system_score_gemma":0.00007008271,"threshold_uncertainty_score":0.92776966},"labels":[],"label_agreement":null},{"id":"W1551732699","doi":"10.1002/0471250953.bi1410s34","title":"Metabolomic Data Processing, Analysis, and Interpretation Using MetaboAnalyst","year":2011,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":292,"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 Institute for Nanotechnology; University of Alberta","funders":"Canadian Institutes of Health Research; Alberta Innovates","keywords":"Metabolomics; Computer science; Univariate; Visualization; Normalization (sociology); Data mining; Multivariate statistics; Bioinformatics; Machine learning; Biology","score_opus":0.11459469768613796,"score_gpt":0.3747744164849803,"score_spread":0.26017971879884233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1551732699","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.429866,0.012174431,0.5156105,0.000025703308,0.0003573166,0.038390767,0.00032909057,0.0000672381,0.003178925],"genre_scores_gemma":[0.86277467,0.001007114,0.1307983,0.000069918475,0.00010837675,0.0046196114,0.000565166,0.000029958755,0.00002692058],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866253,0.000050788618,0.00057987066,0.00031779442,0.00014327584,0.00024573898],"domain_scores_gemma":[0.9989058,0.000005587285,0.00031770687,0.00062819273,0.000079595564,0.000063128835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057442853,0.00019904073,0.00037685895,0.00035068428,0.000073844305,0.000060805374,0.00042217778,0.00007587865,0.00001276312],"category_scores_gemma":[0.00011395934,0.00017286667,0.00006904298,0.000605874,0.00010007237,0.00005024666,0.00052768714,0.000122057994,0.0000018698754],"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":[0.0011850465,0.0014874532,0.44063768,0.0028624644,0.0049679857,0.000004581663,0.0061436575,0.00023100886,0.034917478,0.0020592972,0.0007552227,0.5047481],"study_design_scores_gemma":[0.0038024585,0.0005004284,0.097325,0.00034736955,0.0035546988,0.00002650426,0.0014406135,0.79881287,0.040189557,0.0010407069,0.050965805,0.0019940184],"about_ca_topic_score_codex":0.000014528584,"about_ca_topic_score_gemma":0.00006381677,"teacher_disagreement_score":0.79858184,"about_ca_system_score_codex":0.000012858138,"about_ca_system_score_gemma":0.00006840283,"threshold_uncertainty_score":0.7049298},"labels":[],"label_agreement":null},{"id":"W1570419641","doi":"10.1002/0471250953.bi1401s18","title":"Introduction to Cheminformatics","year":2007,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":55,"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":"National Institute of Standards and Technology; Genome Alberta; Genome Canada","keywords":"Cheminformatics; Field (mathematics); Data science; Drug discovery; Computer science; Process (computing); Computational biology; Chemistry; Bioinformatics; Biology; Mathematics","score_opus":0.03952877993199118,"score_gpt":0.38558460273455153,"score_spread":0.34605582280256036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1570419641","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011201242,0.000005890698,0.97440344,0.0005289915,0.0005938286,0.020026153,0.000002027296,0.00013311899,0.0031864326],"genre_scores_gemma":[0.001822967,0.0000020664286,0.9879492,0.0003313591,0.0005488813,0.00927825,0.000014237544,0.000011598624,0.000041473464],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99788845,0.000021762067,0.00094905344,0.0001853269,0.00052323483,0.00043214866],"domain_scores_gemma":[0.9987309,0.00015643671,0.00020425874,0.0006082912,0.0001375127,0.00016258849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022467608,0.00017958929,0.00019186415,0.00045444732,0.00006312508,0.00021354864,0.0009154579,0.000054556287,0.000010604073],"category_scores_gemma":[0.00039639935,0.0001720229,0.000051937233,0.0013039265,0.0000292033,0.0015977233,0.00044052006,0.0002532509,0.00024688573],"study_design_candidate":"design_other","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":[0.00002149949,0.00014863512,0.00031129524,0.00035376844,0.000004093968,0.0000012514092,0.0037858782,0.0076578897,0.000027142436,0.06126507,0.007909098,0.9185144],"study_design_scores_gemma":[0.00086829934,0.00016157636,0.0041417256,0.00028174065,0.000002470969,0.000029253431,0.00018163111,0.57265675,0.0076448997,0.007858,0.4055842,0.00058943883],"about_ca_topic_score_codex":6.926243e-7,"about_ca_topic_score_gemma":0.0000018961256,"teacher_disagreement_score":0.91792494,"about_ca_system_score_codex":0.00022205341,"about_ca_system_score_gemma":0.000120779245,"threshold_uncertainty_score":0.70148903},"labels":[],"label_agreement":null},{"id":"W1588972287","doi":"10.1002/0471250953.bi0815s39","title":"Analyzing Protein‐Protein Interactions from Affinity Purification‐Mass Spectrometry Data with SAINT","year":2012,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":170,"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; Institute for Research in Immunology and Cancer; Université de Montréal; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research; National Institutes of Health; National Center for Research Resources; National Institute of General Medical Sciences; Wellcome Trust","keywords":"Computer science; Interactome; Data mining; Visualization; Mass spectrometry; Proteomics; Software; Chemistry; Chromatography; Operating system","score_opus":0.06460508059387611,"score_gpt":0.3635142895239711,"score_spread":0.298909208930095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1588972287","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06442356,0.000111844965,0.8829977,0.00017451949,0.00004152712,0.047292445,0.0007549348,0.00044342116,0.0037600407],"genre_scores_gemma":[0.11733398,0.000013296095,0.7518331,0.000011529646,0.00026271286,0.12940156,0.0010244766,0.000043262164,0.00007610083],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980849,0.000022640692,0.0008104193,0.00031328367,0.00027695176,0.00049178855],"domain_scores_gemma":[0.99724466,0.000060341285,0.00058506575,0.001851229,0.00008752333,0.00017115567],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035588187,0.0002980464,0.00028944726,0.00015987466,0.0001749618,0.00013155024,0.0009889603,0.00010809523,0.00026651518],"category_scores_gemma":[0.00014072347,0.00026308667,0.000049240705,0.0005206647,0.00009627646,0.0014420425,0.00032834176,0.0008038282,0.00007124973],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007082644,0.0066979947,0.111904964,0.0059373076,0.00036100287,0.00000424376,0.0029993698,0.00025376293,0.5304903,0.06739824,0.0014105297,0.27183402],"study_design_scores_gemma":[0.0019427402,0.00008520138,0.0010353602,0.003729138,0.000067307185,0.000011844362,0.0005975962,0.018280512,0.7955647,0.011955952,0.16514353,0.0015860818],"about_ca_topic_score_codex":0.0000329255,"about_ca_topic_score_gemma":0.000011964776,"teacher_disagreement_score":0.27024794,"about_ca_system_score_codex":0.00037547416,"about_ca_system_score_gemma":0.000094862924,"threshold_uncertainty_score":0.9999821},"labels":[],"label_agreement":null},{"id":"W1602382457","doi":"10.1002/0471250953.bi0901s00","title":"Creating Databases for Biological Information: An Introduction","year":2002,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":8,"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 Institute for Cancer Research","funders":"","keywords":"Database; Computer science; Relational database; Flat file database; Relational database management system; Data management; Information retrieval; Data file","score_opus":0.47099965476565375,"score_gpt":0.48195284512817876,"score_spread":0.010953190362525012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1602382457","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00948282,0.000044737033,0.88382673,0.0013781629,0.0035095098,0.09385505,0.00047084753,0.00038245867,0.0070496984],"genre_scores_gemma":[0.06546183,0.000051381172,0.75259894,0.0013235068,0.004548103,0.17093056,0.0038886291,0.00004911147,0.0011479222],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970324,0.00008686416,0.0014440482,0.00031715527,0.0007887967,0.00033070677],"domain_scores_gemma":[0.997619,0.00041700227,0.00047726082,0.0011167016,0.00026880112,0.00010125529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004913623,0.0001556171,0.0002285945,0.00046778645,0.00026228285,0.0009081124,0.0009168021,0.000039765757,0.00033381546],"category_scores_gemma":[0.0061098686,0.00010987973,0.00006371277,0.000936309,0.00009484901,0.003851307,0.0003418432,0.0001409716,0.00033931283],"study_design_candidate":"design_other","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":[0.000022194583,0.00019048364,0.00243172,0.00008543766,0.0000024180433,1.2708647e-7,0.0013524025,0.0005975699,0.0000017025225,0.011380378,0.10875609,0.87517947],"study_design_scores_gemma":[0.00042181957,0.00009715962,0.0006214629,0.00003614304,0.0000015008123,0.0000020982966,0.0006876996,0.35470864,0.000023103194,0.0010074355,0.64226854,0.0001244101],"about_ca_topic_score_codex":0.0000017625879,"about_ca_topic_score_gemma":0.0000031845716,"teacher_disagreement_score":0.8750551,"about_ca_system_score_codex":0.000052653173,"about_ca_system_score_gemma":0.000019155412,"threshold_uncertainty_score":0.8756949},"labels":[],"label_agreement":null},{"id":"W1607625373","doi":"10.1002/0471250953.bi0818s48","title":"DXMSMS Match Program for Automated Analysis of LC‐MS/MS Data Obtained Using Isotopically Coded CID‐Cleavable Cross‐Linking Reagents","year":2014,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Genome British Columbia; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Genome British Columbia; Genome Canada","keywords":"Chemistry; Mass spectrometry; Reagent; Cross-platform; Cleavage (geology); Mass spectrum; Fragmentation (computing); Linker; Cross-validation; Coding (social sciences); Tandem mass spectrometry; Chromatography; Combinatorial chemistry; Computer science; Organic chemistry; Artificial intelligence; Materials science; Mathematics; Programming language","score_opus":0.08753147938312769,"score_gpt":0.4417234568363741,"score_spread":0.3541919774532464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1607625373","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044416446,0.000015213473,0.8713651,0.00002843587,0.000052134208,0.07984684,0.0009371592,0.001239236,0.0020994807],"genre_scores_gemma":[0.01715341,0.000012540498,0.898571,0.000024979598,0.000066579276,0.081709385,0.002379724,0.00004679753,0.000035576006],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997291,0.000019450981,0.0015079022,0.00036938733,0.00032987172,0.00048234806],"domain_scores_gemma":[0.99700326,0.00010990876,0.00095679803,0.0015757482,0.0002530368,0.00010123114],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006847786,0.00028727352,0.00060356763,0.00022085829,0.00016960903,0.00017523822,0.0012529019,0.00022215473,0.000039310526],"category_scores_gemma":[0.0002208124,0.0002767868,0.0001552778,0.0008754901,0.00012911673,0.00045186115,0.0006437012,0.00028054108,0.0000027235515],"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":[0.00089599605,0.005826503,0.09854342,0.03494682,0.0016472817,0.0000016931107,0.0020552063,0.04048461,0.04848198,0.014840267,0.0016012941,0.7506749],"study_design_scores_gemma":[0.0010453562,0.000055588887,0.00019015878,0.0006432903,0.00015490456,9.679923e-7,0.000023999746,0.95827955,0.022266911,0.00139155,0.015635928,0.00031181125],"about_ca_topic_score_codex":0.00001670009,"about_ca_topic_score_gemma":0.0000109922985,"teacher_disagreement_score":0.91779494,"about_ca_system_score_codex":0.00015246474,"about_ca_system_score_gemma":0.00010692635,"threshold_uncertainty_score":0.9999684},"labels":[],"label_agreement":null},{"id":"W1674711333","doi":"10.1002/0471250953.bi0610s27","title":"Using OrthoCluster for the Detection of Synteny Blocks Among Multiple Genomes","year":2009,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Synteny; Genome; Computational biology; Gene; Biology; Upload; Identification (biology); Computer science; Genetics; Evolutionary biology; World Wide Web; Ecology","score_opus":0.05187834364693721,"score_gpt":0.32819621550890876,"score_spread":0.27631787186197154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1674711333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8184207,0.0020268583,0.11298986,0.00003804507,0.0003269489,0.06590316,0.00006968243,0.0000076243896,0.00021709297],"genre_scores_gemma":[0.98912776,0.00010282064,0.004621908,0.00003160161,0.00009692651,0.0059930612,0.00000774147,0.0000069593066,0.000011217396],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992171,0.000012935346,0.000396875,0.00010613457,0.000079705176,0.00018725819],"domain_scores_gemma":[0.9994086,0.000029311606,0.00019536809,0.0002484283,0.000093715,0.000024569934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002134303,0.00012545697,0.00014272051,0.000042841148,0.00008849835,0.000018608718,0.00017505142,0.00007046351,7.568826e-7],"category_scores_gemma":[0.00007865461,0.00009066325,0.00008946882,0.000076660035,0.00006882139,0.0000025890754,0.000068738154,0.00006358208,2.679355e-7],"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":[0.0004864135,0.00036344197,0.09915695,0.0007677609,0.00014386415,2.3814525e-7,0.0013917836,0.008076804,0.39529893,0.0001080643,0.00015888362,0.49404687],"study_design_scores_gemma":[0.005522779,0.0019472244,0.092120506,0.00049209147,0.00011534784,0.000014236004,0.001151871,0.34012452,0.44025427,0.00051338883,0.11674543,0.0009983289],"about_ca_topic_score_codex":0.000002859652,"about_ca_topic_score_gemma":0.000023381199,"teacher_disagreement_score":0.49304855,"about_ca_system_score_codex":0.000013852544,"about_ca_system_score_gemma":0.00003313702,"threshold_uncertainty_score":0.369714},"labels":[],"label_agreement":null},{"id":"W1764658002","doi":"10.1002/0471250953.bi1408s25","title":"Exploring Human Metabolites Using the Human Metabolome Database","year":2009,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"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 Institute for Nanotechnology; University of Alberta","funders":"Genome Alberta; Genome Canada","keywords":"Metabolome; Metabolite; Metabolomics; Computational biology; Computer science; Bioinformatics; Biology; Biochemistry","score_opus":0.2053561132408094,"score_gpt":0.39723976516503684,"score_spread":0.19188365192422743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1764658002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96103686,0.002505401,0.0042065578,0.00012240077,0.00035229855,0.029805005,0.00008711495,0.00005545235,0.0018289221],"genre_scores_gemma":[0.9338805,0.0015583296,0.027064098,0.0005364142,0.0014017192,0.034805875,0.00054138,0.00007858447,0.00013309086],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99822986,0.00007142878,0.00070230657,0.00026304726,0.00025817932,0.0004751818],"domain_scores_gemma":[0.9988292,0.000011675499,0.00026431485,0.00073392945,0.00008278174,0.00007812057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069547707,0.0002978604,0.00035062514,0.00017352127,0.00035655644,0.00010847524,0.00052874174,0.00006110642,0.000012337325],"category_scores_gemma":[0.00011190395,0.00021372808,0.00013066048,0.0003581978,0.000112357615,0.00005740438,0.00027586106,0.0002705831,0.0000048519673],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049910286,0.0005802136,0.0054870048,0.0003521154,0.00013005327,0.0000024651865,0.00080706674,0.00012404704,0.93475634,0.036485918,0.00096970296,0.020255135],"study_design_scores_gemma":[0.004112184,0.0007788671,0.018543512,0.00047232336,0.00017892619,0.000026732767,0.001267117,0.0017754724,0.5169273,0.0031118204,0.45108154,0.0017241881],"about_ca_topic_score_codex":0.0000056676854,"about_ca_topic_score_gemma":0.000006524647,"teacher_disagreement_score":0.45011184,"about_ca_system_score_codex":0.000025590152,"about_ca_system_score_gemma":0.000041994826,"threshold_uncertainty_score":0.8715578},"labels":[],"label_agreement":null},{"id":"W1877439477","doi":"10.1002/0471250953.bi0813s23","title":"Exploring Biological Networks with Cytoscape Software","year":2008,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":76,"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","funders":"National Institute of General Medical Sciences; Unilever","keywords":"Interconnectivity; Biological network; Context (archaeology); Computer science; Computational biology; Software; Gene regulatory network; Genomics; Bioinformatics; Data science; Biology; Gene; Gene expression; Artificial intelligence; Genome; Genetics","score_opus":0.1234336037324784,"score_gpt":0.29559837944456024,"score_spread":0.17216477571208183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1877439477","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45429862,0.000800047,0.4864329,0.000056806763,0.0006899195,0.05467031,0.00005022418,0.0002130677,0.0027881],"genre_scores_gemma":[0.7153703,0.004206271,0.1545445,0.0007888196,0.001721452,0.12190321,0.001142422,0.00016900907,0.00015402507],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99836195,0.000031073625,0.00064737286,0.00022787107,0.00019204746,0.00053966814],"domain_scores_gemma":[0.9990559,0.000019553825,0.00021963184,0.00048634532,0.00007737536,0.000141168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002540782,0.00030401789,0.0002800872,0.00008776112,0.00015829373,0.000041169173,0.00037816982,0.00017294627,0.0000116012625],"category_scores_gemma":[0.000047737463,0.00022909464,0.000086104934,0.00025208236,0.00019478667,0.00004038209,0.0002247653,0.0003395,0.000022837507],"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":[0.0024281847,0.0016550942,0.321647,0.0016540528,0.00028270984,0.00006691835,0.003928338,0.05840489,0.00079490966,0.0014870956,0.016474336,0.5911765],"study_design_scores_gemma":[0.018358666,0.00781329,0.06653005,0.0030753296,0.000058239322,0.0012392257,0.0014139923,0.15059118,0.008336242,0.0004954817,0.7358016,0.0062867175],"about_ca_topic_score_codex":0.0000012461787,"about_ca_topic_score_gemma":0.00000525315,"teacher_disagreement_score":0.7193273,"about_ca_system_score_codex":0.000031428972,"about_ca_system_score_gemma":0.000105692736,"threshold_uncertainty_score":0.93422085},"labels":[],"label_agreement":null},{"id":"W1904872924","doi":"10.1002/0471250953.bi0912s31","title":"Using the Generic Synteny Browser (GBrowse_syn)","year":2010,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Human Genome Research Institute; National Institutes of Health","keywords":"Synteny; Computer science; Biology; Genetics; Gene; Genome","score_opus":0.09153211497302881,"score_gpt":0.3662461542577841,"score_spread":0.2747140392847553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1904872924","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026898151,0.00003417255,0.9701074,0.00011269548,0.0012253717,0.024766104,0.000008791739,0.00012471084,0.00093098555],"genre_scores_gemma":[0.008734163,0.000016200345,0.9640256,0.0003590554,0.0004357724,0.026346805,0.000015282447,0.000027130907,0.0000399748],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985158,0.00003934846,0.0005186416,0.0001864441,0.00037988342,0.00035987582],"domain_scores_gemma":[0.99845797,0.00005539249,0.0002142154,0.0011053,0.00008003764,0.00008706762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005154781,0.00018304675,0.00016428676,0.000110816996,0.00020330763,0.00037638022,0.0017138888,0.00007776708,0.0000193986],"category_scores_gemma":[0.00007255715,0.00011353344,0.000058545498,0.0005011167,0.00008903657,0.0013415285,0.0008307133,0.00055512635,0.000052975898],"study_design_candidate":"design_other","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":[0.000013976126,0.0003714653,0.0028136591,0.00045881842,0.000012640923,0.0000061857804,0.0025047318,0.0005927552,0.0021551307,0.05532779,0.0049881777,0.93075466],"study_design_scores_gemma":[0.00032300735,0.000025137082,0.00052924897,0.00016806362,0.000001907374,0.000027348766,0.00003153408,0.89806885,0.0007535558,0.0011779774,0.098689474,0.00020390168],"about_ca_topic_score_codex":0.0000067053543,"about_ca_topic_score_gemma":0.000005571057,"teacher_disagreement_score":0.93055075,"about_ca_system_score_codex":0.000030111787,"about_ca_system_score_gemma":0.00013040387,"threshold_uncertainty_score":0.46297592},"labels":[],"label_agreement":null},{"id":"W1920328788","doi":"10.1002/0471250953.bi1314s31","title":"Predicting Peptide Retention Times for Proteomics","year":2010,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":26,"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 Winnipeg; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Retention time; Chromatography; Proteomics; Fractionation; Chemistry; Peptide; Mass spectrometry; Computer science; Biochemistry","score_opus":0.03341266430213969,"score_gpt":0.3475060992545571,"score_spread":0.3140934349524174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1920328788","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11951217,0.0000180166,0.6255193,0.00022746733,0.00027200766,0.23037168,0.0004549589,0.0011539295,0.022470511],"genre_scores_gemma":[0.0058258125,0.0000077472605,0.6252787,0.000014600292,0.00018338888,0.3683327,0.00014356639,0.000030895248,0.00018256284],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987047,0.00000342747,0.00066205754,0.000179473,0.00014447412,0.00030590803],"domain_scores_gemma":[0.9989702,0.00004943724,0.00035787356,0.0004485588,0.00010465546,0.00006923817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002949857,0.00017971644,0.00017594574,0.000070800714,0.00013691196,0.00007606968,0.00033528995,0.00016033593,0.00006647888],"category_scores_gemma":[0.0001916928,0.00017445479,0.00008655463,0.00012651405,0.00006747013,0.00033181655,0.00009539405,0.00055559055,0.0000116086385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042767124,0.0014300043,0.07173062,0.015882174,0.00004929886,9.699841e-7,0.002042577,0.0002844426,0.3938982,0.12864554,0.004586057,0.38102245],"study_design_scores_gemma":[0.002333655,0.00010208624,0.00013817438,0.0012624185,0.000020134932,0.0000139632875,0.00018244596,0.21908334,0.52625155,0.050621662,0.19918732,0.0008032178],"about_ca_topic_score_codex":0.0000014083517,"about_ca_topic_score_gemma":0.0000055668884,"teacher_disagreement_score":0.38021925,"about_ca_system_score_codex":0.000056756842,"about_ca_system_score_gemma":0.0000662638,"threshold_uncertainty_score":0.711406},"labels":[],"label_agreement":null},{"id":"W1959849421","doi":"10.1002/0471250953.bi1310s25","title":"De Novo Interpretation of Tandem Mass Spectra","year":2009,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Waterloo","funders":"","keywords":"Computational biology; Tandem; Computer science; Software; DNA sequencing; Protocol (science); Biology; Genetics; Medicine; Engineering; Programming language; DNA","score_opus":0.0234359719009001,"score_gpt":0.35235308171156565,"score_spread":0.3289171098106656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1959849421","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062877,0.000026503656,0.94867843,0.00006618672,0.000013541631,0.01768351,0.000025070542,0.00014054593,0.027078489],"genre_scores_gemma":[0.26724154,0.000063377076,0.68646055,0.00007912983,0.00007348395,0.045946755,0.000056837245,0.000019510744,0.000058815505],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990854,0.0000043824703,0.0005270312,0.00008370799,0.00011792311,0.000181534],"domain_scores_gemma":[0.99937373,0.000020213522,0.00025455153,0.00026650165,0.000044016007,0.00004095676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012785783,0.00011111321,0.00015320546,0.00006119882,0.000025794083,0.000024401606,0.00023543386,0.000075312855,0.00005024002],"category_scores_gemma":[0.000040730483,0.00010868857,0.00004848706,0.00015021191,0.000034605004,0.00017671844,0.000021280406,0.00021977321,0.0000049875343],"study_design_candidate":"design_other","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":[0.00014281888,0.000718266,0.009110542,0.0020482987,0.000013220226,0.0000016779583,0.0023277588,0.0011714079,0.08491719,0.06466373,0.00030968338,0.8345754],"study_design_scores_gemma":[0.001332392,0.00015662829,0.0003878296,0.0019553183,0.000011690026,0.000012728918,0.00017237301,0.16198452,0.66670895,0.15395662,0.012839521,0.00048144904],"about_ca_topic_score_codex":3.652483e-7,"about_ca_topic_score_gemma":2.9858091e-7,"teacher_disagreement_score":0.834094,"about_ca_system_score_codex":0.00011525582,"about_ca_system_score_gemma":0.000050873085,"threshold_uncertainty_score":0.44321913},"labels":[],"label_agreement":null},{"id":"W2127256962","doi":"10.1002/0471250953.bi0910s50","title":"Installing a Local Copy of the Reactome Web Site and Knowledgebase","year":2015,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","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":"Ontario Institute for Cancer Research","funders":"National Human Genome Research Institute","keywords":"Computer science; World Wide Web; Software; Web site; Field (mathematics); Source code; Web browser; Code (set theory); Information retrieval; The Internet; Programming language; Set (abstract data type)","score_opus":0.03331719160713126,"score_gpt":0.3072731998607921,"score_spread":0.27395600825366084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127256962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8828082,0.0020050441,0.037005518,0.00017504067,0.0010374493,0.06566796,0.00020473191,0.000047996753,0.011048069],"genre_scores_gemma":[0.9911789,0.000113694325,0.0043781814,0.00012052235,0.0001337286,0.003913646,0.000080279286,0.000021610565,0.00005944713],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988809,0.000040968822,0.0005790787,0.00010856709,0.00016408277,0.0002263662],"domain_scores_gemma":[0.9991328,0.000013667596,0.00025400234,0.00038264727,0.000108064494,0.00010883508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005732425,0.0001606929,0.00018521288,0.000053827593,0.00004507666,0.00003203522,0.00025285964,0.00013155477,0.0000020174366],"category_scores_gemma":[0.00009219181,0.00011490941,0.000057989,0.00016836586,0.00020809419,0.000017092329,0.00034987682,0.00023192623,0.0000070351985],"study_design_candidate":"design_other","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":[0.0017650928,0.0017660476,0.1856942,0.008664053,0.00022664096,0.000004079954,0.0174765,0.005633702,0.014978315,0.0066744117,0.043393508,0.7137234],"study_design_scores_gemma":[0.008649144,0.0010077921,0.0017103993,0.0018554308,0.0000401379,0.000053977736,0.0015211654,0.36204404,0.018284377,0.0015151985,0.60227734,0.0010409764],"about_ca_topic_score_codex":0.0000026013026,"about_ca_topic_score_gemma":0.000023108076,"teacher_disagreement_score":0.7126825,"about_ca_system_score_codex":0.000028447585,"about_ca_system_score_gemma":0.00022062083,"threshold_uncertainty_score":0.46858698},"labels":[],"label_agreement":null},{"id":"W2137827821","doi":"10.1002/0471250953.bi1404s18","title":"In Silico Drug Exploration and Discovery Using DrugBank","year":2007,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":12,"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 Institute for Nanotechnology; University of Alberta","funders":"Genome Alberta","keywords":"DrugBank; In silico; Drug discovery; Computational biology; Drug; Computer science; Pharmacology; Medicine; Bioinformatics; Biology","score_opus":0.07871889536768117,"score_gpt":0.40567713129173955,"score_spread":0.32695823592405837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137827821","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049880095,0.0000441876,0.9320982,0.00015007076,0.0002913042,0.017224537,0.0000026184596,0.000040228744,0.0002687509],"genre_scores_gemma":[0.12660947,0.00004186801,0.85807776,0.0003846884,0.0002434772,0.014545881,0.000020868523,0.000035388905,0.00004059986],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981746,0.00009338342,0.0007995647,0.00022185965,0.0003714311,0.00033918064],"domain_scores_gemma":[0.99905914,0.00028334628,0.00021442703,0.0003245016,0.000049188726,0.00006940986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001927606,0.00017699448,0.00020497828,0.00046524766,0.00005914808,0.00035425473,0.0004347604,0.000045933473,0.0000011993859],"category_scores_gemma":[0.00013317584,0.00017154109,0.000034323515,0.0008429958,0.000059386406,0.0069355094,0.00037756065,0.00024554066,0.0000062392746],"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":[0.00010905782,0.0008160543,0.01960244,0.0016998331,0.000011369146,0.000025975005,0.030700559,0.0819821,0.00022217496,0.20836928,0.00036038124,0.65610075],"study_design_scores_gemma":[0.000811218,0.000026618849,0.0038773406,0.0004274947,0.0000013007405,0.000008966837,0.00023421926,0.96351916,0.0011461509,0.02791373,0.0017608895,0.0002729191],"about_ca_topic_score_codex":0.000010203525,"about_ca_topic_score_gemma":0.000027239568,"teacher_disagreement_score":0.881537,"about_ca_system_score_codex":0.00018754801,"about_ca_system_score_gemma":0.00014596964,"threshold_uncertainty_score":0.6995243},"labels":[],"label_agreement":null},{"id":"W2138793275","doi":"10.1002/0471250953.bi0813s47","title":"Biological Network Exploration with Cytoscape 3","year":2014,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1086,"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","funders":"National Institute of General Medical Sciences","keywords":"Computer science; Visualization; Biological network; Function (biology); Interface (matter); Annotation; Software; Data visualization; Data science; User interface; Graph drawing; Graphical user interface; Data mining; Bioinformatics; Biology; Artificial intelligence; Programming language","score_opus":0.036331719970874504,"score_gpt":0.29470612777093774,"score_spread":0.25837440780006327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138793275","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0393223,0.0002494933,0.89284635,0.00019306566,0.0005655009,0.051090196,0.000023833338,0.000118412805,0.015590824],"genre_scores_gemma":[0.74018496,0.00054161414,0.16503191,0.0018541066,0.0036412827,0.0864742,0.0019159074,0.00014229499,0.00021371646],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986174,0.000054404372,0.00056486076,0.00018345169,0.00015817788,0.0004217082],"domain_scores_gemma":[0.99916124,0.00001799816,0.00023417897,0.00042380375,0.00006598976,0.0000967585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055810873,0.00023150939,0.00021979574,0.000050011684,0.00009009042,0.000075816664,0.00028635314,0.00017827346,0.000010619324],"category_scores_gemma":[0.000047685327,0.000169969,0.000055646633,0.00019471554,0.000099585086,0.000028405511,0.0001418878,0.00020591618,0.00003878537],"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":[0.001531752,0.0007903652,0.055253718,0.0012863359,0.00012353236,0.000002245483,0.0013980684,0.04048357,0.0015770835,0.024653483,0.03769155,0.8352083],"study_design_scores_gemma":[0.0042415,0.0026750995,0.0028010742,0.0006802617,0.000015328204,0.000028706052,0.00023105522,0.114708364,0.0020342926,0.0049990886,0.86637294,0.0012122672],"about_ca_topic_score_codex":5.6474244e-7,"about_ca_topic_score_gemma":0.000011601783,"teacher_disagreement_score":0.83399606,"about_ca_system_score_codex":0.000018610286,"about_ca_system_score_gemma":0.000056827168,"threshold_uncertainty_score":0.6931135},"labels":[],"label_agreement":null},{"id":"W2159038577","doi":"10.1002/0471250953.bi0410s25","title":"Using RepeatMasker to Identify Repetitive Elements in Genomic Sequences","year":2009,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3613,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Unix; Computer science; Sequence (biology); Software; Sequence alignment; Genomics; Computational biology; Genome; Programming language; Biology; Genetics","score_opus":0.07026612532642805,"score_gpt":0.40583678740416224,"score_spread":0.33557066207773417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159038577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97914445,0.0001901971,0.00073133415,0.000046909794,0.00012767335,0.01886109,0.000023481041,0.0000042970632,0.00087054167],"genre_scores_gemma":[0.95915765,0.00017439191,0.031311344,0.000404076,0.00017638406,0.008675098,0.000042249703,0.000020490117,0.00003830093],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985741,0.00003530509,0.0006625023,0.00024673948,0.00013713665,0.0003442438],"domain_scores_gemma":[0.9993862,0.000005846695,0.00015966235,0.00032140108,0.00005873326,0.0000681563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037032255,0.00018892223,0.00020187149,0.00013499345,0.00005232094,0.00004773042,0.00025413412,0.00007684721,0.0000048060397],"category_scores_gemma":[0.00007811761,0.00018292599,0.000054500353,0.00019512327,0.00003592109,0.0000050396725,0.00015742304,0.000106309904,0.000011562221],"study_design_candidate":"observational","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":[0.0003754734,0.0006781495,0.2988821,0.00043753788,0.0000705248,0.0000137183615,0.003987784,0.004998672,0.5724826,0.00068330276,0.0008331408,0.11655702],"study_design_scores_gemma":[0.0073092245,0.0030178758,0.70054233,0.0022508486,0.000045793066,0.00005036755,0.0022661965,0.009499045,0.14017999,0.0045949994,0.1274258,0.0028174927],"about_ca_topic_score_codex":0.0000065227796,"about_ca_topic_score_gemma":0.000026697371,"teacher_disagreement_score":0.4323026,"about_ca_system_score_codex":0.00007871835,"about_ca_system_score_gemma":0.00008955681,"threshold_uncertainty_score":0.7459505},"labels":[],"label_agreement":null},{"id":"W2465211533","doi":"10.1002/cpbi.1","title":"Using DrugBank for <i>In Silico</i> Drug Exploration and Discovery","year":2016,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":36,"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":"Canadian Institutes of Health Research; Genome Alberta; Genome Canada","keywords":"DrugBank; Cheminformatics; Drug discovery; In silico; Drug; Computer science; Computational biology; Drug repositioning; Bioinformatics; World Wide Web; Pharmacology; Biology; Genetics","score_opus":0.1282426112999357,"score_gpt":0.40616409947112864,"score_spread":0.27792148817119294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2465211533","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008905182,0.000029292856,0.96417654,0.000389439,0.00020713023,0.026162628,0.000014995724,0.00003910659,0.00007570554],"genre_scores_gemma":[0.038281713,0.000050304687,0.89005524,0.00017302982,0.00015499399,0.07119245,0.0000138378255,0.000030793275,0.000047621994],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848455,0.00009241093,0.000641666,0.00023748864,0.00025281118,0.00029108085],"domain_scores_gemma":[0.9988671,0.00049336924,0.00020642225,0.00031841392,0.000060661707,0.000054029057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095289305,0.00016885009,0.00020837452,0.00025789332,0.000056933488,0.00027233202,0.00041246082,0.000038663457,6.4331135e-7],"category_scores_gemma":[0.00020069921,0.00012596464,0.000045771376,0.00037898982,0.000057057954,0.0054964796,0.00027707685,0.00008811171,0.0000035598061],"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":[0.000075718235,0.0002854629,0.0045104246,0.0010893637,0.000006915514,0.0000013089953,0.004531325,0.009226928,0.0004492977,0.15077381,0.000348483,0.82870096],"study_design_scores_gemma":[0.0019840864,0.00005186122,0.00075855124,0.0011420121,0.000002171429,0.0000039318616,0.00007780736,0.91282123,0.002391722,0.07648494,0.003958158,0.0003235001],"about_ca_topic_score_codex":0.000002370301,"about_ca_topic_score_gemma":0.000008058007,"teacher_disagreement_score":0.9035943,"about_ca_system_score_codex":0.00014992745,"about_ca_system_score_gemma":0.0001653207,"threshold_uncertainty_score":0.5136689},"labels":[],"label_agreement":null},{"id":"W2473046152","doi":"10.1002/cpbi.2","title":"Inference of Episodic Changes in Natural Selection Acting on Protein Coding Sequences via CODEML","year":2016,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Inference; Computer science; Workflow; Bootstrapping (finance); Robustness (evolution); Natural selection; Artificial intelligence; Coding (social sciences); Statistical inference; Machine learning; Selection (genetic algorithm); Data mining; Biology; Database; Statistics; Econometrics; Genetics; Gene; Mathematics","score_opus":0.028389816847000145,"score_gpt":0.33888003484034446,"score_spread":0.3104902179933443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2473046152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8829876,0.000110815155,0.07137665,0.0002854769,0.00030262512,0.044022955,0.000040355673,0.000044858563,0.0008286278],"genre_scores_gemma":[0.99053407,0.000048291105,0.0022844258,0.000022162705,0.000041619067,0.0069980165,0.00001801781,0.000008091076,0.000045303987],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989672,0.000054930482,0.00042170443,0.0001520134,0.00016451784,0.00023963781],"domain_scores_gemma":[0.9994456,0.000025230329,0.00025794434,0.0001612996,0.00007397252,0.000035957913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003296738,0.00014353168,0.00015520294,0.00014084375,0.000032631207,0.000013682744,0.00017803237,0.00010863837,0.00000718356],"category_scores_gemma":[0.0002708419,0.000106503125,0.0000323501,0.00020092301,0.00008472289,0.000016191858,0.00007239141,0.00014106135,0.000004998378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027682408,0.00026552012,0.038701326,0.0010613864,0.000015752867,5.5621706e-7,0.00048736174,0.0006198445,0.63218606,0.0010047894,0.000075840406,0.32530478],"study_design_scores_gemma":[0.003879922,0.0017392011,0.009185417,0.00513103,0.0000071426944,0.00000967334,0.0002653923,0.067041464,0.9056144,0.0012227971,0.0050682183,0.0008353481],"about_ca_topic_score_codex":0.0000049628916,"about_ca_topic_score_gemma":0.00024371389,"teacher_disagreement_score":0.32446942,"about_ca_system_score_codex":0.0000631582,"about_ca_system_score_gemma":0.00008765966,"threshold_uncertainty_score":0.43430713},"labels":[],"label_agreement":null},{"id":"W2520222164","doi":"10.1002/cpbi.11","title":"Using MetaboAnalyst 3.0 for Comprehensive Metabolomics Data Analysis","year":2016,"lang":"en","type":"review","venue":"Current Protocols in Bioinformatics","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1574,"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; McGill University; National Institute for Nanotechnology; Ste. Anne's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Metabolomics; Univariate; Computer science; Linear discriminant analysis; Principal component analysis; Data mining; Artificial intelligence; Multivariate statistics; Chemistry; Machine learning","score_opus":0.36268761875428074,"score_gpt":0.4984211420443799,"score_spread":0.13573352329009913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520222164","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000015142093,0.8865399,0.06641657,0.0000038460817,0.0002757832,0.043091513,0.0035805064,0.000018296745,0.00007208069],"genre_scores_gemma":[3.3162226e-7,0.92915565,0.042078335,0.000016596478,0.00034951404,0.024200648,0.0041057845,0.000058489575,0.000034642682],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99613374,0.00016008347,0.0019458875,0.0008262496,0.000285578,0.0006484721],"domain_scores_gemma":[0.99564445,0.00011517331,0.0014563071,0.0024184117,0.00024134105,0.00012430969],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00086502905,0.00078217336,0.0032039757,0.0009041545,0.00013393487,0.00011669694,0.0016990785,0.00040128094,0.000011155144],"category_scores_gemma":[0.00034275578,0.0005531161,0.0010852091,0.0011897922,0.00014087302,0.00002868682,0.0014385135,0.0002800111,0.00001062146],"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":[0.000046386325,0.00018322757,0.000049009257,0.022910167,0.0072840657,7.029773e-7,0.000020349873,0.00002355295,0.000031249954,0.000696724,0.0023344555,0.9664201],"study_design_scores_gemma":[0.0006361257,0.000058039663,0.0000022611673,0.0018880735,0.0049613,0.000004415222,0.000017164035,0.0022843773,0.000022926404,0.000044546756,0.989403,0.0006777415],"about_ca_topic_score_codex":0.0000022580687,"about_ca_topic_score_gemma":0.00001353184,"teacher_disagreement_score":0.9870686,"about_ca_system_score_codex":0.00008091883,"about_ca_system_score_gemma":0.0004444794,"threshold_uncertainty_score":0.999692},"labels":[],"label_agreement":null},{"id":"W2795216948","doi":"10.1002/cpbi.38","title":"Prediction of Protein‐Protein Interactions","year":2017,"lang":"en","type":"review","venue":"Current Protocols in Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"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; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Computer science; Computational biology; Biology","score_opus":0.1433647786724113,"score_gpt":0.40354968817696857,"score_spread":0.2601849095045573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795216948","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008584643,0.8849992,0.0045590494,0.0000051463576,0.0004838674,0.105535954,0.0006495641,0.000025813899,0.003732792],"genre_scores_gemma":[0.000018616296,0.89805543,0.0032962963,0.0000052839605,0.00045943534,0.09620385,0.0014198131,0.00006429547,0.0004769875],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997079,0.00007182262,0.001966531,0.00026197935,0.00023785664,0.0003827663],"domain_scores_gemma":[0.99646187,0.000011713074,0.0020392481,0.0012640953,0.000121493504,0.000101597376],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005445622,0.00049628725,0.0011155532,0.00025361162,0.00011604995,0.00010530368,0.0008632076,0.00048465934,0.000016599814],"category_scores_gemma":[0.00014096094,0.00042210612,0.0004611903,0.00014516046,0.00016500782,0.000034477405,0.0004358572,0.0006458892,0.000037855283],"study_design_candidate":"design_other","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":[0.000015440623,0.0001157862,0.000004878328,0.03047121,0.00006244059,2.9971835e-7,0.000048526723,0.000003381278,0.000011407194,0.00018269302,0.0007442194,0.96833974],"study_design_scores_gemma":[0.00041057405,0.00018355354,0.0000019647841,0.031912792,0.000056692435,0.00001256503,0.000012219042,0.00036505624,0.00007196543,0.00013787762,0.9665042,0.00033051282],"about_ca_topic_score_codex":0.0000022021347,"about_ca_topic_score_gemma":0.0000059947765,"teacher_disagreement_score":0.96800923,"about_ca_system_score_codex":0.00007569379,"about_ca_system_score_gemma":0.0005083392,"threshold_uncertainty_score":0.9998231},"labels":[],"label_agreement":null},{"id":"W2903973767","doi":"10.1002/cpbi.69","title":"Using OmicsNet for Network Integration and 3D Visualization","year":2018,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Ste. Anne's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Genome Canada","keywords":"Visualization; Computer science; Computer graphics (images); Artificial intelligence","score_opus":0.05443163514785006,"score_gpt":0.37313386531187925,"score_spread":0.3187022301640292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903973767","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014441848,0.00013194329,0.9610289,0.000011529716,0.0003589742,0.023454966,0.000026443182,0.000016437567,0.000528977],"genre_scores_gemma":[0.20548202,0.00040733357,0.7493112,0.0011007956,0.0057931384,0.03568112,0.0019468885,0.00014712424,0.00013037611],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895483,0.00001930936,0.00052548974,0.00013799842,0.00008033534,0.00028201833],"domain_scores_gemma":[0.99937266,0.000011634982,0.00022549009,0.00021067928,0.00012385391,0.000055663946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004328477,0.00016150973,0.00015216338,0.0000571153,0.00012320287,0.000085359134,0.00012681392,0.00014997915,0.0000038553458],"category_scores_gemma":[0.000055720957,0.00014960821,0.00003663233,0.00012716609,0.0001061955,0.000024673926,0.000107423475,0.000076970806,0.0000029529253],"study_design_candidate":"design_other","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":[0.0011428756,0.00035222672,0.011416233,0.002322533,0.000110084045,2.8701265e-7,0.0034207182,0.004660795,0.008825178,0.027884234,0.024903057,0.91496176],"study_design_scores_gemma":[0.0013286162,0.00048874,0.00020782487,0.00033118535,0.000012800467,0.0000068712816,0.00009513147,0.9049489,0.0027281381,0.0019285363,0.08759468,0.00032860975],"about_ca_topic_score_codex":0.0000012298742,"about_ca_topic_score_gemma":0.000019450947,"teacher_disagreement_score":0.91463315,"about_ca_system_score_codex":0.000026115997,"about_ca_system_score_gemma":0.00006599643,"threshold_uncertainty_score":0.6100846},"labels":[],"label_agreement":null},{"id":"W2974361058","doi":"10.1002/cpbi.86","title":"Using MetaboAnalyst 4.0 for Comprehensive and Integrative Metabolomics Data Analysis","year":2019,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2283,"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; McGill University; Ste. Anne's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Computer science","score_opus":0.13980651451810427,"score_gpt":0.4168898723673449,"score_spread":0.27708335784924065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974361058","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5098294,0.00896317,0.36690608,0.000095722,0.00068901933,0.11031195,0.0022861785,0.000054965563,0.0008635117],"genre_scores_gemma":[0.25201088,0.0046880594,0.7068929,0.00046699215,0.0005193867,0.02905049,0.005998129,0.0001255548,0.000247615],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985624,0.000047009114,0.00056815916,0.0003935955,0.0001393983,0.00028943474],"domain_scores_gemma":[0.998597,0.000043831817,0.0003019999,0.0008253308,0.00017035964,0.00006146727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042655494,0.00025397702,0.00061843556,0.0002995233,0.00006746468,0.00007085732,0.00043247998,0.00009143125,0.00000644568],"category_scores_gemma":[0.00014227467,0.0002029729,0.00013365502,0.0005325674,0.00008326527,0.000032666845,0.0005913951,0.00012985482,0.0000022488287],"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":[0.0033680447,0.002399324,0.48717713,0.009319585,0.03128863,0.0000031565362,0.004440302,0.009344195,0.2605191,0.047608595,0.009980797,0.13455115],"study_design_scores_gemma":[0.004880906,0.0005007061,0.0065236026,0.00014988873,0.0018172918,0.000006845961,0.0020755944,0.59078586,0.0145871,0.0006428661,0.37682796,0.0012013908],"about_ca_topic_score_codex":0.0000063418715,"about_ca_topic_score_gemma":0.00003345872,"teacher_disagreement_score":0.58144164,"about_ca_system_score_codex":0.000019057541,"about_ca_system_score_gemma":0.00007102878,"threshold_uncertainty_score":0.8276995},"labels":[],"label_agreement":null},{"id":"W3004615581","doi":"10.1002/0471250953.bia01cs51","title":"Unix Survival Guide","year":2015,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Genetics, Bioinformatics, and Biomedical 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":"Amgen (Canada); University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Unix; Operating system; Unix architecture; Computer science; Unix filesystem; Interface (matter); Line (geometry); System call; Programming language; Software","score_opus":0.09029082316120539,"score_gpt":0.398473927243156,"score_spread":0.3081831040819506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004615581","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15805982,0.002735696,0.16825399,0.0025398969,0.009803426,0.27877286,0.000708858,0.0005877938,0.37853765],"genre_scores_gemma":[0.30813485,0.006409734,0.39907292,0.0054502427,0.013096018,0.23073488,0.010284068,0.0008900857,0.025927188],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973719,0.000076743374,0.0009492329,0.00021764966,0.0007480073,0.0006364311],"domain_scores_gemma":[0.99839383,0.000021660617,0.00018619133,0.0006335164,0.00030952555,0.00045529066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014178506,0.000264711,0.00027097188,0.00017363243,0.000056881785,0.00010456715,0.0006934504,0.00022684562,0.000018172968],"category_scores_gemma":[0.0009812829,0.00022380814,0.0000955339,0.00030391084,0.00024975807,0.000023936194,0.0004880123,0.00029354417,0.00019934181],"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":[0.0007792753,0.0015775765,0.043546077,0.0028177171,0.000119132346,0.000013524174,0.0028564925,0.00038395598,0.0034548852,0.0018016141,0.27915165,0.6634981],"study_design_scores_gemma":[0.002458953,0.0006554612,0.00069178076,0.00017090143,0.000005195595,0.000009202985,0.00070083543,0.0056760293,0.0063557387,0.00035234008,0.9825001,0.0004234685],"about_ca_topic_score_codex":0.000008341067,"about_ca_topic_score_gemma":0.000030918032,"teacher_disagreement_score":0.70334846,"about_ca_system_score_codex":0.00007871324,"about_ca_system_score_gemma":0.0006021415,"threshold_uncertainty_score":0.91266304},"labels":[],"label_agreement":null},{"id":"W3012617605","doi":"10.1002/cpbi.98","title":"MetaBridge: An Integrative Multi‐Omics Tool for Metabolite‐Enzyme Mapping","year":2020,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","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":"Simon Fraser University; BC Centre for Disease Control; University of British Columbia","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; National Science Foundation","keywords":"Computational biology; Omics; Metabolite; Computer science; Metabolomics; Biology; Bioinformatics; Biochemistry","score_opus":0.06961718095760626,"score_gpt":0.3584858946947571,"score_spread":0.28886871373715084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012617605","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05638922,0.0023012648,0.82591265,0.0004820942,0.0006482172,0.112509556,0.0011943915,0.00011234186,0.00045024446],"genre_scores_gemma":[0.06270609,0.0017841555,0.73633724,0.0026036575,0.0017939928,0.1915778,0.0028178345,0.00018209913,0.00019711719],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981996,0.00005758224,0.0007816201,0.00035941807,0.00016513561,0.0004366447],"domain_scores_gemma":[0.99899805,0.000023624241,0.0002939891,0.00037310453,0.00016874056,0.0001424754],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004521497,0.00034052145,0.0004943607,0.000110579065,0.00010557477,0.00009737329,0.00043332812,0.00012624449,0.000006132469],"category_scores_gemma":[0.0006063716,0.0002847442,0.00018165018,0.0002946124,0.0000821954,0.00004325829,0.00024921048,0.00022268145,0.000007715247],"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":[0.0026478146,0.0032011797,0.02198536,0.0075202556,0.001476534,0.0000053411623,0.018643284,0.0010783246,0.4855005,0.038318433,0.02078721,0.39883575],"study_design_scores_gemma":[0.005017605,0.00092347333,0.0012743247,0.00011587705,0.000060907325,0.0000038927847,0.0014643692,0.06106421,0.1630557,0.00028495098,0.7657366,0.0009981093],"about_ca_topic_score_codex":0.0000013918688,"about_ca_topic_score_gemma":0.0000043523632,"teacher_disagreement_score":0.74494934,"about_ca_system_score_codex":0.000026445581,"about_ca_system_score_gemma":0.000109754175,"threshold_uncertainty_score":0.9999605},"labels":[],"label_agreement":null},{"id":"W3048826980","doi":"10.1002/cpbi.103","title":"How to Illuminate the Dark Proteome Using the Multi‐omic OpenProt Resource","year":2020,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PROTEO; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Compute Canada","keywords":"ORFS; Annotation; Open reading frame; Computational biology; Genome; Proteogenomics; Biology; Transcriptome; Ribosome profiling; Human proteome project; Computer science; Resource (disambiguation); World Wide Web; Gene; Genomics; Genetics; Proteomics; Ribosome; RNA","score_opus":0.0805174965101075,"score_gpt":0.3313399402576689,"score_spread":0.25082244374756135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048826980","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10512697,0.00053909427,0.35265225,0.022197599,0.00042047584,0.5178376,0.00014840603,0.000115670315,0.000961944],"genre_scores_gemma":[0.35973287,0.00007906156,0.14322263,0.01131024,0.0019995258,0.48259854,0.00014703911,0.00028013502,0.0006299624],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984764,0.00016159317,0.00044036392,0.00026096625,0.0002694117,0.00039125982],"domain_scores_gemma":[0.9989073,0.000021508557,0.0002283744,0.000648745,0.000063767955,0.00013026375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068121473,0.00025751,0.0002052385,0.0000361339,0.00022738539,0.0002678922,0.001030565,0.00011418804,0.0000058820806],"category_scores_gemma":[0.0004490351,0.00015028173,0.00009797258,0.00027743794,0.000111884336,0.000022211116,0.0005303451,0.00025645285,0.000021126587],"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":[0.00089930696,0.00029163103,0.00087807607,0.0017202009,0.000099184006,0.000005569552,0.010745791,0.0015536837,0.779114,0.0005377569,0.010581174,0.19357362],"study_design_scores_gemma":[0.0008852167,0.00036978698,0.00005517779,0.00029735678,0.000012541639,0.000010091516,0.0012562695,0.010277565,0.3863869,0.00006183053,0.59998095,0.00040628613],"about_ca_topic_score_codex":0.0000024832757,"about_ca_topic_score_gemma":0.000003613002,"teacher_disagreement_score":0.5893998,"about_ca_system_score_codex":0.000026805477,"about_ca_system_score_gemma":0.00009862017,"threshold_uncertainty_score":0.6128311},"labels":[],"label_agreement":null},{"id":"W4230565533","doi":"10.1002/0471250953.bi0901s42","title":"Creating Databases for Biological Information: An Introduction","year":2013,"lang":"en","type":"review","venue":"Current Protocols in Bioinformatics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"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 Institute for Cancer Research","funders":"","keywords":"NoSQL; Database; Computer science; Relational database; Flat file database; Information retrieval; Data file","score_opus":0.18142449419478054,"score_gpt":0.4513500495060855,"score_spread":0.2699255553113049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230565533","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000024078314,0.7223161,0.04252347,0.000080329635,0.0016011276,0.2302974,0.0020417357,0.00013860548,0.0009771751],"genre_scores_gemma":[5.395683e-7,0.8574689,0.029798102,0.00004976896,0.0015885257,0.09355183,0.017444627,0.00003642736,0.000061284016],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958695,0.00014686196,0.0023172353,0.0003938914,0.00047667653,0.00079582137],"domain_scores_gemma":[0.9972859,0.000091860325,0.00090851734,0.0010249176,0.00036849585,0.0003202807],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012360362,0.00064766477,0.0011133095,0.00042031478,0.00017781468,0.00030552334,0.0009463402,0.00060790306,0.000054660493],"category_scores_gemma":[0.0016766345,0.00047470542,0.00035782447,0.0003570532,0.00028792667,0.0001528334,0.00052793906,0.0005566555,0.00014032902],"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":[0.000027025544,0.00014769708,0.000010355678,0.023814643,0.000033920885,1.1228513e-7,0.00008242291,0.0000025400318,0.0000030810022,0.000227365,0.010223086,0.96542776],"study_design_scores_gemma":[0.0006354584,0.00075713784,0.0000032741225,0.0023543898,0.000039888295,0.000017440621,0.00013744975,0.0010808912,0.00005652819,0.000035868998,0.9942818,0.0005998634],"about_ca_topic_score_codex":0.0000033769932,"about_ca_topic_score_gemma":0.0000045041083,"teacher_disagreement_score":0.98405874,"about_ca_system_score_codex":0.0001060248,"about_ca_system_score_gemma":0.0006213779,"threshold_uncertainty_score":0.99977046},"labels":[],"label_agreement":null},{"id":"W4239833383","doi":"10.1002/0471250953.bi0807s38","title":"Using the Reactome Database","year":2012,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"National Human Genome Research Institute","keywords":"Database; Biological pathway; Computer science; Model organism; Computational biology; Zebrafish; Bioinformatics; Biology; Genetics; Gene; Gene expression","score_opus":0.08623358481336334,"score_gpt":0.3732368373078634,"score_spread":0.28700325249450004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239833383","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28013358,0.0064668925,0.4635818,0.00038871562,0.0051877447,0.21644323,0.0005055151,0.00018163743,0.027110906],"genre_scores_gemma":[0.82459384,0.0006363323,0.11885482,0.00202866,0.0048050806,0.047179393,0.0014554819,0.0001736703,0.0002727136],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986728,0.00003757974,0.0005321943,0.00009397321,0.00017363913,0.00048980623],"domain_scores_gemma":[0.9990162,0.000014561819,0.00021182599,0.00060809794,0.000040262206,0.00010905571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076726946,0.00018605238,0.00014108772,0.000055207132,0.00010516365,0.000058900892,0.00037695697,0.000109330904,0.000014157348],"category_scores_gemma":[0.00005576719,0.00012881309,0.00006820851,0.00016980963,0.00009466132,0.00004092701,0.00030590314,0.00024859645,0.00002984264],"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":[0.0009444204,0.0033269844,0.19332339,0.0057815565,0.0003915389,0.000003786559,0.013929703,0.0034523327,0.05271509,0.028313601,0.10609907,0.59171855],"study_design_scores_gemma":[0.0018657446,0.00015419851,0.0017401376,0.000452705,0.000030131885,0.00007386943,0.000736298,0.055560857,0.008430714,0.00030165282,0.9298027,0.0008509974],"about_ca_topic_score_codex":0.000002467977,"about_ca_topic_score_gemma":0.0000031118766,"teacher_disagreement_score":0.82370365,"about_ca_system_score_codex":0.000032303906,"about_ca_system_score_gemma":0.000075405325,"threshold_uncertainty_score":0.5252845},"labels":[],"label_agreement":null},{"id":"W4293771607","doi":"10.1002/0471250953.bi1401s53","title":"Introduction to Cheminformatics","year":2016,"lang":"en","type":"article","venue":"Current Protocols in Bioinformatics","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":23,"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 Alberta","funders":"","keywords":"Cheminformatics; Data science; Field (mathematics); Computer science; Drug discovery; Computational biology; Process (computing); Chemistry; Bioinformatics; Biology; Mathematics","score_opus":0.03994838149985122,"score_gpt":0.36423832150995594,"score_spread":0.3242899400101047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293771607","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006799705,0.0000040220225,0.97672856,0.0026427114,0.00049946946,0.018008359,0.0000052666414,0.00013471543,0.0012969308],"genre_scores_gemma":[0.0024962726,0.00000830869,0.95497376,0.00037031953,0.00066130224,0.04131827,0.0000075152825,0.000017620205,0.00014661957],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99824,0.000035426187,0.0007471164,0.00019363104,0.00044343752,0.00034036732],"domain_scores_gemma":[0.998731,0.0001632045,0.00018312027,0.00066671474,0.00012382524,0.00013212145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085644185,0.0001721727,0.0001859857,0.00031455746,0.00004818991,0.00016586078,0.0009394739,0.000044802866,0.000022021846],"category_scores_gemma":[0.0005056168,0.000120532066,0.00005032619,0.0007880415,0.000034417102,0.002077441,0.00048134575,0.00012003592,0.00050836866],"study_design_candidate":"design_other","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":[0.000010459399,0.000077130695,0.00019932438,0.00017436528,0.0000030642007,3.5212696e-7,0.0011124607,0.001030075,0.000066953304,0.04855053,0.011012079,0.9377632],"study_design_scores_gemma":[0.0017172263,0.00022700393,0.002373324,0.0009047827,0.0000030063186,0.000026870925,0.00005906832,0.29227886,0.011596596,0.02154849,0.66848385,0.00078091514],"about_ca_topic_score_codex":3.1571938e-7,"about_ca_topic_score_gemma":5.4263273e-7,"teacher_disagreement_score":0.9369823,"about_ca_system_score_codex":0.00021517597,"about_ca_system_score_gemma":0.00013928421,"threshold_uncertainty_score":0.65342206},"labels":[],"label_agreement":null}]}