{"meta":{"query_hash":"6a28f4b4dfb1","filters":{"venue":"International Journal of Advanced Media and Communication"},"cohort_total":25,"direct_labels_cover":0,"predictions_cover":25,"exported":25,"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/6a28f4b4dfb1","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Advanced+Media+and+Communication"},"results":[{"id":"W1982838549","doi":"10.1504/ijamc.2009.026854","title":"Human Computer interaction for smart environment applications using hand gestures and facial expressions","year":2009,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Communications Research Centre Canada; Innovation, Science and Economic Development Canada; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gesture; Computer science; Modalities; Facial expression; Human–computer interaction; Gesture recognition; Body language; Multimedia; Artificial intelligence; Communication","score_opus":0.02776568103470938,"score_gpt":0.32073851453301616,"score_spread":0.2929728334983068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982838549","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.091606475,0.012361754,0.8060569,0.0018824057,0.00081095676,0.00041687107,0.0003978973,0.004336312,0.08213037],"genre_scores_gemma":[0.7088676,0.006840326,0.24353029,0.0008816611,0.000265883,0.00039012445,0.000422491,0.00034460818,0.03845709],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99935895,0.00018790159,0.00003255219,0.0001042141,0.00025539703,0.000060948747],"domain_scores_gemma":[0.99980885,0.00008843971,0.000022455515,0.000027587743,0.000037950194,0.000014883067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005843424,0.000597771,0.00038760857,0.00035074123,0.00029803146,0.0010372635,0.00040893778,0.0008457856,0.007135296],"category_scores_gemma":[0.0014298606,0.00014160902,0.0003200742,0.00038752507,0.00047839485,0.0012536246,0.0010316509,0.00030905558,0.002598841],"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":[0.0003986709,0.00008488558,0.0018768465,0.00077224034,0.00007016896,0.00041919164,0.0009657618,0.0038751203,0.28890267,0.012822399,0.016615741,0.6731963],"study_design_scores_gemma":[0.00013056323,0.001616107,0.0559614,0.0010248949,0.0003793475,0.006002934,0.0020016057,0.1694831,0.28560135,0.036740556,0.44054955,0.0005086364],"about_ca_topic_score_codex":0.0009862361,"about_ca_topic_score_gemma":0.0018466498,"teacher_disagreement_score":0.007135296,"about_ca_system_score_codex":0.00023452412,"about_ca_system_score_gemma":0.00020809371,"threshold_uncertainty_score":0.023869991},"labels":[],"label_agreement":null},{"id":"W1988790205","doi":"10.1504/ijamc.2007.013918","title":"A guided tour in haptic audio visual environments and applications","year":2007,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":68,"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 Ottawa","funders":"","keywords":"Haptic technology; Computer science; Stereotaxy; Human–computer interaction; Robotics; Computer graphics; Multimedia; Artificial intelligence; Robot","score_opus":0.009782539976547495,"score_gpt":0.2752511882977056,"score_spread":0.26546864832115813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988790205","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035890657,0.110251896,0.26630664,0.034524318,0.010205383,0.00019561494,0.0004184037,0.0036936165,0.5385135],"genre_scores_gemma":[0.24162473,0.056985408,0.10172608,0.009316375,0.005553539,0.00018460315,0.00043834702,0.0009492861,0.5832217],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997553,0.00010074425,0.0000062822646,0.000034026343,0.00007449144,0.00002904718],"domain_scores_gemma":[0.9996773,0.00012960628,0.000013181179,0.00003722945,0.000065920794,0.00007671021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004197129,0.00046107222,0.00024176399,0.00065451226,0.0008395739,0.0021246588,0.0005727974,0.0015553508,0.026924819],"category_scores_gemma":[0.001132261,0.00020593886,0.00035974555,0.00059192185,0.0011954887,0.0024946386,0.0017296382,0.0012969243,0.006500231],"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":[0.00037994844,0.00018438316,0.0007983696,0.0009798177,0.000025820074,0.0011983163,0.0044026542,0.0044622663,0.014937451,0.15154971,0.3021458,0.51893544],"study_design_scores_gemma":[0.000017474069,0.00011699152,0.0007013198,0.00025569947,0.000004903073,0.00091882667,0.0010739684,0.0025328258,0.0013230258,0.027865395,0.9651513,0.00003818985],"about_ca_topic_score_codex":0.00089833554,"about_ca_topic_score_gemma":0.0017513861,"teacher_disagreement_score":0.026924819,"about_ca_system_score_codex":0.00053965935,"about_ca_system_score_gemma":0.0003910103,"threshold_uncertainty_score":0.09007251},"labels":[],"label_agreement":null},{"id":"W1989367799","doi":"10.1504/ijamc.2009.026855","title":"Beamformer-aided processing of EEG signals for analysing epileptic seizures","year":2009,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Electroencephalography; Epilepsy; Interference (communication); Identification (biology); Beamforming; Epileptic seizure; Signal processing; Artificial intelligence; Pattern recognition (psychology); Speech recognition; Telecommunications; Neuroscience; Computer hardware; Psychology; Digital signal processing","score_opus":0.027968534271657023,"score_gpt":0.3348634619239405,"score_spread":0.3068949276522835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989367799","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0074204453,0.0003919563,0.98934853,0.0001081266,0.00006673104,0.000054461063,0.00020370042,0.0012677942,0.001138366],"genre_scores_gemma":[0.07563374,0.0010733111,0.91868466,0.00016315431,0.00008320736,0.00017736467,0.0006751076,0.00020920222,0.0033003106],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995757,0.00017935704,0.000028906177,0.00007023723,0.00012044161,0.000025300571],"domain_scores_gemma":[0.9994272,0.00022197884,0.0000453596,0.000078885394,0.00020868282,0.000017836714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007396762,0.0010256803,0.0004922119,0.00085799064,0.00018862128,0.0005393043,0.000440432,0.00085559534,0.0069108186],"category_scores_gemma":[0.0018626534,0.0002768655,0.0005315124,0.0013128233,0.00025715423,0.0007629338,0.00043657757,0.0004081328,0.004133613],"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":[0.00043534508,0.00007960578,0.00084740965,0.00030954604,0.00012162418,0.00015868351,0.00014953084,0.016449567,0.48008993,0.0038195234,0.004088866,0.49345043],"study_design_scores_gemma":[0.00019518149,0.0008937688,0.015591146,0.0001370969,0.00023951546,0.0022986962,0.0001781327,0.57253987,0.35082343,0.009072161,0.04785427,0.00017682013],"about_ca_topic_score_codex":0.00051127205,"about_ca_topic_score_gemma":0.0013882251,"teacher_disagreement_score":0.0069108186,"about_ca_system_score_codex":0.00012035778,"about_ca_system_score_gemma":0.00047285258,"threshold_uncertainty_score":0.023119032},"labels":[],"label_agreement":null},{"id":"W1990499660","doi":"10.1504/ijamc.2009.026851","title":"A 3D scanning system for biomedical purposes","year":2009,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Smoothing; Computer vision; Artificial intelligence; Laser scanning; Calibration; Transformation (genetics); Field (mathematics); Algorithm; Computer graphics (images); Laser; Optics; Mathematics","score_opus":0.02615744946426311,"score_gpt":0.31030543042446196,"score_spread":0.28414798096019883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990499660","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01860202,0.0019298936,0.91447777,0.001163716,0.0012925487,0.0010980164,0.0055138855,0.023816181,0.032105993],"genre_scores_gemma":[0.13705347,0.0016728067,0.7901755,0.0023953833,0.00046171137,0.0022363323,0.005742903,0.0010786249,0.059183333],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99894565,0.00014494872,0.00005873382,0.00019319629,0.0006148555,0.000042693064],"domain_scores_gemma":[0.9989913,0.00020936948,0.000079843485,0.00033502484,0.00028538867,0.000099221754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094450655,0.0009323726,0.0008944085,0.0016586945,0.0007044899,0.0010966245,0.0010767541,0.0017707109,0.044419106],"category_scores_gemma":[0.001113725,0.0005736131,0.0006771959,0.001478632,0.000510884,0.00090539694,0.0017880915,0.0010479555,0.014682205],"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":[0.000364456,0.000086303065,0.0012538485,0.0006523085,0.00005594988,0.0004724082,0.00027690612,0.0020463753,0.5713737,0.008544273,0.054368943,0.3605045],"study_design_scores_gemma":[0.00014984053,0.001021323,0.010148958,0.00014958711,0.00016487428,0.0069613745,0.00010486576,0.034636557,0.2526247,0.0034773182,0.690251,0.00030967838],"about_ca_topic_score_codex":0.0008119077,"about_ca_topic_score_gemma":0.0012315243,"teacher_disagreement_score":0.044419106,"about_ca_system_score_codex":0.00040472177,"about_ca_system_score_gemma":0.0011465121,"threshold_uncertainty_score":0.1485967},"labels":[],"label_agreement":null},{"id":"W1995373220","doi":"10.1504/ijamc.2008.016215","title":"Traffic architecture motivated Learning Object organisation in a virtual environment","year":2007,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Structuring; Relation (database); Architecture; Object (grammar); Metaphor; Learning object; Information retrieval; Human–computer interaction; Artificial intelligence; Data mining","score_opus":0.007982963241712918,"score_gpt":0.25680569481841853,"score_spread":0.24882273157670562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995373220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8653372,0.00009447605,0.117846206,0.00016903548,0.000021283695,0.00009057979,0.00006139887,0.00025808704,0.016121868],"genre_scores_gemma":[0.9683662,0.000039820265,0.02924381,0.000011532473,0.0000053090803,0.000038008653,0.000059376398,0.000033451666,0.0022024454],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951994,0.00014422639,0.000023276514,0.00008499285,0.00014427605,0.00008329919],"domain_scores_gemma":[0.99891806,0.0003153619,0.00017482384,0.00011255464,0.0002411281,0.0002381269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046156123,0.0002513521,0.00029071438,0.0016436402,0.0010081413,0.002856071,0.00058280333,0.00060871633,0.0021731446],"category_scores_gemma":[0.0025854423,0.00022013046,0.00023385827,0.0010520407,0.001176474,0.002577216,0.0019912706,0.00030751605,0.0003608294],"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":[0.0010629675,0.000844273,0.08166036,0.0005386389,0.00013363543,0.0019555774,0.021991184,0.13857913,0.10515692,0.3049472,0.0035800918,0.33955002],"study_design_scores_gemma":[0.00010741456,0.0008354006,0.06776998,0.00011447859,0.00013409456,0.0012929976,0.013524638,0.6921635,0.025173485,0.1624153,0.036294926,0.00017380452],"about_ca_topic_score_codex":0.001563013,"about_ca_topic_score_gemma":0.0020954919,"teacher_disagreement_score":0.002856071,"about_ca_system_score_codex":0.00076949643,"about_ca_system_score_gemma":0.0006595427,"threshold_uncertainty_score":0.007269919},"labels":[],"label_agreement":null},{"id":"W1996962087","doi":"10.1504/ijamc.2007.014812","title":"Navigating a 3D virtual environment of learning objects by hand gestures","year":2007,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Gesture; Computer science; Interface (matter); Avatar; Human–computer interaction; Gesture recognition; Virtual machine; AdaBoost; User interface; Object (grammar); Artificial intelligence; Support vector machine","score_opus":0.008006914228734877,"score_gpt":0.27234080515790415,"score_spread":0.26433389092916926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996962087","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0952555,0.00061513437,0.8902206,0.00016201337,0.00008352198,0.00014627243,0.00016755077,0.0048054075,0.008544075],"genre_scores_gemma":[0.4607817,0.00078074395,0.52796537,0.00018752604,0.00003974955,0.0002933318,0.0003468266,0.00027970542,0.0093250405],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99961567,0.00008646794,0.00002117065,0.00009032892,0.00015203786,0.0000342115],"domain_scores_gemma":[0.9996848,0.00014507769,0.000027479611,0.000056785666,0.000031528554,0.000054199678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003457066,0.00079285784,0.0007393482,0.0005748733,0.00045638636,0.0011937381,0.0010290444,0.0008422241,0.0046376814],"category_scores_gemma":[0.0011189219,0.00035383238,0.0006427948,0.000398416,0.00068452547,0.0014990326,0.0022475007,0.00046182194,0.0011676667],"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":[0.0005425755,0.00023306714,0.0033271094,0.0005632168,0.000121051235,0.0016045609,0.0023134341,0.05059933,0.25016114,0.011575407,0.006180835,0.6727783],"study_design_scores_gemma":[0.000228214,0.0016025637,0.014416085,0.00040860343,0.00023078192,0.0048070857,0.0018822504,0.57794785,0.19767252,0.021177053,0.17914839,0.0004786448],"about_ca_topic_score_codex":0.002187399,"about_ca_topic_score_gemma":0.003426364,"teacher_disagreement_score":0.0046376814,"about_ca_system_score_codex":0.00022795526,"about_ca_system_score_gemma":0.00045961668,"threshold_uncertainty_score":0.015514612},"labels":[],"label_agreement":null},{"id":"W2026469806","doi":"10.1504/ijamc.2009.026858","title":"Towards fully integrated Lab-on-Chip: design, assembly and experimental results","year":2009,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biosensor; Polyelectrolyte; Lab-on-a-chip; Microfluidics; Computer science; Capacitive sensing; Chip; CMOS; Nanotechnology; Computer hardware; Embedded system; Materials science; Optoelectronics; Polymer; Telecommunications","score_opus":0.019082465202790833,"score_gpt":0.29210461372077673,"score_spread":0.2730221485179859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026469806","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19394614,0.004305079,0.78622997,0.00041710958,0.0003383889,0.000896146,0.0012947561,0.006206507,0.0063659996],"genre_scores_gemma":[0.2260399,0.0013777424,0.76104355,0.00030712754,0.000052730917,0.00088169373,0.0021649715,0.00044981966,0.0076824664],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99873847,0.00015571689,0.00005824761,0.00020546475,0.00072845665,0.00011376075],"domain_scores_gemma":[0.9993436,0.000102012134,0.000054586028,0.00010415079,0.0003288438,0.00006692869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011421851,0.00080874306,0.0005676516,0.0002332497,0.00027431917,0.0010847311,0.001615119,0.0009273863,0.0030381556],"category_scores_gemma":[0.0010336018,0.00048697833,0.00033574682,0.0002895046,0.0003668201,0.0008924557,0.0006430439,0.00075881684,0.0017187299],"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":[0.00016763613,0.0001932111,0.00035817697,0.0003924942,0.00004291257,0.000104293016,0.00010538039,0.0034805643,0.96331006,0.0011967263,0.0014326395,0.029215878],"study_design_scores_gemma":[0.000056139063,0.0012851224,0.0016445527,0.000028604394,0.00006495889,0.00033004608,0.000038794307,0.020960886,0.9464146,0.00037997094,0.02873918,0.000057068442],"about_ca_topic_score_codex":0.0008000848,"about_ca_topic_score_gemma":0.0010790429,"teacher_disagreement_score":0.0030381556,"about_ca_system_score_codex":0.0005341898,"about_ca_system_score_gemma":0.0005766983,"threshold_uncertainty_score":0.010163665},"labels":[],"label_agreement":null},{"id":"W2030293943","doi":"10.1504/ijamc.2008.018503","title":"IMS-QTI sub-standards in computerised adaptive testing and interfacing","year":2008,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Interfacing; Computer science; Reusability; Multimedia; Computerized adaptive testing; Adaptive learning; Mastery learning; Flash (photography); World Wide Web; Software engineering; Operating system; Software; Computer hardware; Mathematics education","score_opus":0.028232009032920072,"score_gpt":0.29824183840746604,"score_spread":0.270009829374546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030293943","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0072925226,0.0030947498,0.91346216,0.0023649528,0.0012223059,0.0011931033,0.0010433133,0.008390596,0.06193633],"genre_scores_gemma":[0.07685984,0.005489631,0.8437045,0.002380816,0.0014084287,0.004046079,0.0084581915,0.0040370966,0.053615477],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9808092,0.00558926,0.004524264,0.0011078556,0.0070397262,0.0009297292],"domain_scores_gemma":[0.9600965,0.012518793,0.0027732297,0.009409914,0.014017328,0.0011842968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0218744,0.0019116575,0.0013593924,0.0042838776,0.0013941268,0.0057864483,0.004509949,0.0057102344,0.008608085],"category_scores_gemma":[0.03748634,0.0011854114,0.0011951455,0.0036847936,0.003026246,0.0061822664,0.0046225865,0.005254747,0.014648568],"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":[0.001098618,0.0006135405,0.003565682,0.00146174,0.00012796443,0.0012108759,0.002375194,0.012566014,0.037287172,0.32431906,0.060953077,0.554421],"study_design_scores_gemma":[0.00027924604,0.00084673776,0.00810762,0.0019925884,0.00016257892,0.0036295538,0.00069459283,0.061596997,0.09096024,0.16871707,0.66266197,0.00035078736],"about_ca_topic_score_codex":0.0024633491,"about_ca_topic_score_gemma":0.0011316447,"teacher_disagreement_score":0.0218744,"about_ca_system_score_codex":0.0021424885,"about_ca_system_score_gemma":0.004228677,"threshold_uncertainty_score":0.11568427},"labels":[],"label_agreement":null},{"id":"W2032555056","doi":"10.1504/ijamc.2008.020180","title":"Scalability measurement of a proxy-based multimedia content repurposing system","year":2008,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Repurposing; Scalability; Proxy (statistics); Multimedia; Computer network; World Wide Web; Database; Machine learning","score_opus":0.04745059848511044,"score_gpt":0.26720643427504664,"score_spread":0.2197558357899362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032555056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9577516,0.00040640295,0.036221515,0.000098943325,0.000049903083,0.00023246351,0.00010749183,0.0023038003,0.0028279277],"genre_scores_gemma":[0.9936959,0.00006154037,0.0058520073,0.000013459782,0.0000075982157,0.000030553838,0.00008298238,0.000017343991,0.00023863724],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810815,0.0005475033,0.00015124469,0.00021701033,0.00075313664,0.00022288934],"domain_scores_gemma":[0.9959473,0.0011061362,0.00029192667,0.00065196597,0.0014867347,0.0005159596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014867597,0.00061103655,0.0009389284,0.0010230512,0.00065561006,0.0006936177,0.0011341836,0.00079106895,0.0011781119],"category_scores_gemma":[0.004478365,0.00021536114,0.00026312366,0.0009435819,0.00049328984,0.0014239283,0.0006282823,0.00055347296,0.00032788486],"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":[0.004100984,0.001984016,0.025053654,0.00073486695,0.00038417144,0.0014192265,0.00085645355,0.22473194,0.59289265,0.003935816,0.0031466822,0.14075962],"study_design_scores_gemma":[0.00011345973,0.0019542896,0.009574969,0.000015893602,0.000115155824,0.00034345963,0.0002565944,0.8509932,0.13518764,0.0003432846,0.0010375549,0.00006440821],"about_ca_topic_score_codex":0.0029203964,"about_ca_topic_score_gemma":0.00096817146,"teacher_disagreement_score":0.0029203964,"about_ca_system_score_codex":0.0010615956,"about_ca_system_score_gemma":0.00054800056,"threshold_uncertainty_score":0.007862866},"labels":[],"label_agreement":null},{"id":"W2048849473","doi":"10.1504/ijamc.2008.016211","title":"Technologies for enabling the sharing of Learning Objects","year":2007,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University; Simon Fraser University","funders":"","keywords":"Computer science; Interoperability; Architecture; Learning object; Knowledge management; Data science; World Wide Web","score_opus":0.02074007943119152,"score_gpt":0.3193245911481462,"score_spread":0.29858451171695466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048849473","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033894252,0.0040824884,0.87459904,0.0039468813,0.00039765946,0.0005874196,0.00016942095,0.0034639782,0.078858875],"genre_scores_gemma":[0.36994016,0.008526737,0.5959087,0.00075896655,0.00046622517,0.0014109926,0.0005955018,0.0003158718,0.022076806],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99468946,0.0016721424,0.00060361193,0.0004874015,0.00203101,0.0005165139],"domain_scores_gemma":[0.9948249,0.0018627739,0.00062399724,0.0017405145,0.0006376366,0.00031009168],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0049963356,0.0006278268,0.00056418247,0.0032385697,0.0017272843,0.0075155627,0.0032388836,0.0033351807,0.0070571858],"category_scores_gemma":[0.008261813,0.0007388397,0.001223183,0.0035241803,0.0035608439,0.017059576,0.008355016,0.002094785,0.0028896842],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010987035,0.00018979078,0.0019000702,0.001005184,0.000104908715,0.00038102307,0.0020491297,0.004668628,0.012053952,0.7362474,0.0049260743,0.23636402],"study_design_scores_gemma":[0.00014299106,0.0004157475,0.0027917302,0.0010212499,0.0002559349,0.0018217872,0.0014701077,0.022348901,0.03702772,0.47418705,0.45829964,0.00021720846],"about_ca_topic_score_codex":0.00078342046,"about_ca_topic_score_gemma":0.0005214712,"teacher_disagreement_score":0.99676114,"about_ca_system_score_codex":0.001419881,"about_ca_system_score_gemma":0.0021928605,"threshold_uncertainty_score":0.026423454},"labels":[],"label_agreement":null},{"id":"W2061085110","doi":"10.1504/ijamc.2008.018505","title":"Developing a simple repository to support authoring Learning Objects","year":2008,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Open Education and E-Learning","field":"Computer Science","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":"Simon Fraser University","funders":"","keywords":"Computer science; Agile software development; Process (computing); Object (grammar); World Wide Web; Simple (philosophy); Space (punctuation); Learning object; Multimedia; Knowledge management; Software engineering","score_opus":0.030077681314867263,"score_gpt":0.3209295621460716,"score_spread":0.29085188083120433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061085110","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027961591,0.00025901443,0.9365481,0.0005060835,0.00027584066,0.0013088655,0.00031590232,0.028424216,0.0044003488],"genre_scores_gemma":[0.055327438,0.00022129442,0.92985016,0.0001456881,0.00008792819,0.0006580397,0.0012417033,0.0034983426,0.00896939],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9900629,0.002697947,0.0017399564,0.0013117433,0.0036967022,0.00049081276],"domain_scores_gemma":[0.9602097,0.012294175,0.002442134,0.015476757,0.0061336365,0.003443534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016177254,0.0011057636,0.0015140718,0.0037465328,0.002164665,0.008374928,0.006233305,0.0029559347,0.0073552206],"category_scores_gemma":[0.033459187,0.001947808,0.0017002992,0.0024460533,0.0017177133,0.013869138,0.008446378,0.004333843,0.004688235],"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":[0.0008876781,0.0024369014,0.013098573,0.0024708407,0.00029602123,0.0038005153,0.018380655,0.016440606,0.07800043,0.03591692,0.025574695,0.8026961],"study_design_scores_gemma":[0.0007171799,0.0021778783,0.0040627406,0.0011815055,0.00043442365,0.0059487303,0.003479918,0.13208222,0.12464696,0.025173973,0.6991906,0.00090387324],"about_ca_topic_score_codex":0.0010011662,"about_ca_topic_score_gemma":0.0015412964,"teacher_disagreement_score":0.016177254,"about_ca_system_score_codex":0.001007119,"about_ca_system_score_gemma":0.003961241,"threshold_uncertainty_score":0.08555448},"labels":[],"label_agreement":null},{"id":"W2063950929","doi":"10.1504/ijamc.2007.013917","title":"Adaptive digital image watermarking based on predictive embedding and a Dynamic Fuzzy Inference System model","year":2007,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","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":"University of Ottawa","funders":"","keywords":"Digital watermarking; Computer science; Watermark; Embedding; Human visual system model; Artificial intelligence; Fuzzy logic; Adaptive neuro fuzzy inference system; Inference; Process (computing); Domain (mathematical analysis); Fuzzy inference system; Image (mathematics); Algorithm; Fuzzy control system; Computer vision; Data mining; Mathematics","score_opus":0.009920617165505144,"score_gpt":0.28168708675384546,"score_spread":0.27176646958834033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063950929","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021126963,0.00024512428,0.9757488,0.00011016494,0.000034453376,0.000025994153,0.000020030848,0.00018908687,0.0024993534],"genre_scores_gemma":[0.8751893,0.00045742412,0.120913304,0.00005005789,0.00004321792,0.000070606475,0.00004024121,0.000021927668,0.003214033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980265,0.000033389817,0.000010101894,0.000046862075,0.00009172542,0.000015246729],"domain_scores_gemma":[0.9997054,0.00018039592,0.00004130195,0.000020782509,0.000044841396,0.0000072293506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003683996,0.00038956746,0.00046778156,0.0003257829,0.00025227427,0.00057963846,0.0006856452,0.00063025876,0.000944211],"category_scores_gemma":[0.0011043977,0.00023451341,0.00047763594,0.00026503665,0.00056714297,0.00082350895,0.00029294743,0.0007273365,0.00017276681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012586066,0.000058048186,0.000361614,0.000094119496,0.000057191904,0.00021473992,0.000100961515,0.8730829,0.021946013,0.038136236,0.00035990577,0.065462455],"study_design_scores_gemma":[0.000004473964,0.000020660704,0.000052710275,0.000002977189,0.0000066839602,0.000022442473,0.0000017038027,0.99694747,0.001005907,0.0017492399,0.00018041213,0.000005387647],"about_ca_topic_score_codex":0.0033749214,"about_ca_topic_score_gemma":0.0029226465,"teacher_disagreement_score":0.0033749214,"about_ca_system_score_codex":0.0004619164,"about_ca_system_score_gemma":0.00037468254,"threshold_uncertainty_score":0.006710589},"labels":[],"label_agreement":null},{"id":"W2077409459","doi":"10.1504/ijamc.2008.018504","title":"Keyword extraction rules based on a part-of-speech hierarchy","year":2008,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":20,"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 Waterloo","funders":"","keywords":"Computer science; Hierarchy; Natural language processing; Artificial intelligence; Sentence; Domain (mathematical analysis); Set (abstract data type); Field (mathematics); Context (archaeology); Natural language; Keyword extraction; Natural language understanding","score_opus":0.021887724369164682,"score_gpt":0.3129724551895625,"score_spread":0.2910847308203978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077409459","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0171827,0.00039732043,0.97706443,0.00018374424,0.000058335383,0.00029651436,0.0005866194,0.0020803392,0.002150092],"genre_scores_gemma":[0.1671251,0.00045045262,0.82808954,0.00017730432,0.00006631409,0.00034850917,0.001484473,0.00020475834,0.0020535556],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980667,0.00033039085,0.00023763551,0.0005703054,0.0007012802,0.00009372838],"domain_scores_gemma":[0.9953511,0.00298692,0.00023980487,0.00031835434,0.0010072081,0.000096614494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015787024,0.00073482457,0.0009860562,0.0028644172,0.0007003997,0.0013822464,0.0015868827,0.00086662284,0.0026014922],"category_scores_gemma":[0.008465464,0.00047502946,0.0010441034,0.0014456476,0.0011237218,0.0025877934,0.00069628307,0.0011401523,0.0024858154],"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":[0.000435098,0.00023160057,0.0064383936,0.0013723385,0.00020632148,0.0010767905,0.0015749678,0.049135502,0.096521944,0.02998577,0.00685038,0.806171],"study_design_scores_gemma":[0.00009433816,0.00030846673,0.0045476,0.00032081167,0.0003577867,0.0011924875,0.00046983708,0.7796551,0.10142568,0.08778316,0.023717383,0.00012738306],"about_ca_topic_score_codex":0.0024304178,"about_ca_topic_score_gemma":0.003037305,"teacher_disagreement_score":0.0028644172,"about_ca_system_score_codex":0.00059551856,"about_ca_system_score_gemma":0.0014904275,"threshold_uncertainty_score":0.008702874},"labels":[],"label_agreement":null},{"id":"W2086837650","doi":"10.1504/ijamc.2009.026863","title":"The possibility of standardising blood pressure measurement","year":2009,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Praxis; Data science; Political science; Law","score_opus":0.02714157989155863,"score_gpt":0.30791561512261245,"score_spread":0.2807740352310538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086837650","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028068075,0.058889978,0.26123726,0.5216743,0.03131383,0.00022972892,0.0006665754,0.0012035557,0.09671676],"genre_scores_gemma":[0.63799137,0.026106937,0.20935991,0.07588037,0.033710655,0.0005444986,0.00044396712,0.0004469984,0.0155153135],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.95924115,0.02123729,0.0021434424,0.005602289,0.010665508,0.0011103321],"domain_scores_gemma":[0.90710866,0.05165619,0.006033012,0.017158784,0.016606811,0.0014365563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05182154,0.00088307913,0.001372683,0.0024657394,0.002312841,0.006620713,0.003201914,0.010043651,0.0034376646],"category_scores_gemma":[0.1199699,0.0005929812,0.0010834902,0.0021416906,0.013091476,0.011538882,0.006329069,0.00803405,0.00191485],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006346763,0.0001619815,0.013668351,0.0010796573,0.00020092553,0.0004904193,0.0054849996,0.0008771946,0.00865065,0.50913787,0.039523564,0.4200898],"study_design_scores_gemma":[0.000121275116,0.00084962335,0.013633387,0.0016919547,0.00024156336,0.0018052147,0.0022022573,0.0031801546,0.016764203,0.4802651,0.4789182,0.00032711803],"about_ca_topic_score_codex":0.002634182,"about_ca_topic_score_gemma":0.00162222,"teacher_disagreement_score":0.05182154,"about_ca_system_score_codex":0.0025330805,"about_ca_system_score_gemma":0.0043638237,"threshold_uncertainty_score":0.2740618},"labels":[],"label_agreement":null},{"id":"W2100526067","doi":"10.1504/ijamc.2009.026859","title":"New piezoelectric sensors with Gall Bladder stone material","year":2009,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Acoustic Wave Resonator Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gall; Computer science; Biology; Ecology","score_opus":0.004891180923788633,"score_gpt":0.22274658114028048,"score_spread":0.21785540021649186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100526067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58594364,0.057534505,0.30046868,0.0041372124,0.0033963274,0.00085057627,0.0008737542,0.0030955467,0.04369971],"genre_scores_gemma":[0.7307073,0.012779675,0.21601462,0.0016572814,0.0005311373,0.00040966584,0.00046185506,0.00011158989,0.037326887],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99927896,0.000059873615,0.000030445486,0.00013162759,0.0004424669,0.000056668334],"domain_scores_gemma":[0.99954164,0.00012082647,0.00008902373,0.000035286124,0.00015909655,0.00005420665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006379766,0.0005597974,0.0006408399,0.0004911527,0.00022444953,0.00083729613,0.0011435482,0.0015040338,0.0023032266],"category_scores_gemma":[0.0013948386,0.0006067612,0.00034026193,0.000598361,0.00042654076,0.0018760079,0.0009013853,0.0009173148,0.0013402023],"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":[0.000115861905,0.000039615545,0.0005686673,0.00034034034,0.000023656741,0.0002049138,0.000095180956,0.00022389051,0.96379757,0.0008447518,0.001241983,0.032503508],"study_design_scores_gemma":[0.000054167533,0.0005381994,0.003254627,0.00005719519,0.000077518336,0.0021194082,0.000091030735,0.008687966,0.9524741,0.00042281116,0.032158248,0.00006477326],"about_ca_topic_score_codex":0.00022814833,"about_ca_topic_score_gemma":0.00052980456,"teacher_disagreement_score":0.0023032266,"about_ca_system_score_codex":0.00034363416,"about_ca_system_score_gemma":0.00022060006,"threshold_uncertainty_score":0.007705033},"labels":[],"label_agreement":null},{"id":"W2106730208","doi":"10.1504/ijamc.2010.034660","title":"Information rich monitoring of interoperating services in privacy enabled B2B networks","year":2010,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":2,"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 Ottawa","funders":"European Commission","keywords":"Computer science; World Wide Web; Information system; Computer security; Information privacy; Internet privacy","score_opus":0.012509893121226287,"score_gpt":0.30652266817186036,"score_spread":0.29401277505063406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106730208","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29816085,0.0007048526,0.6796948,0.0025237312,0.0000435371,0.0002647072,0.00029663334,0.0011705421,0.017140336],"genre_scores_gemma":[0.94598424,0.00023460828,0.05236137,0.0001425231,0.00001955068,0.00006440072,0.00013473113,0.00003438953,0.001024291],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9933949,0.0031163988,0.00039729383,0.00055947213,0.0021317701,0.00040017223],"domain_scores_gemma":[0.9868342,0.006318798,0.0022233822,0.0025361066,0.0016980674,0.00038947052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052109743,0.00046683717,0.0004936015,0.0019393169,0.0013581358,0.0045066853,0.0011661751,0.0018792596,0.00077236595],"category_scores_gemma":[0.013193444,0.00044768336,0.00030542782,0.0026553366,0.0018974899,0.00845632,0.003018509,0.0013168005,0.0003577619],"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":[0.001481695,0.0006289771,0.065506615,0.00042791344,0.00018773398,0.003402667,0.010650106,0.14809072,0.04326682,0.45013815,0.0052892235,0.2709294],"study_design_scores_gemma":[0.000039227732,0.0002759341,0.012721088,0.00015545869,0.00007504884,0.0013090216,0.0025502276,0.75021803,0.03539165,0.16985242,0.027305245,0.000106712294],"about_ca_topic_score_codex":0.0044090226,"about_ca_topic_score_gemma":0.0023725089,"teacher_disagreement_score":0.0052109743,"about_ca_system_score_codex":0.0015636069,"about_ca_system_score_gemma":0.0011379631,"threshold_uncertainty_score":0.027558625},"labels":[],"label_agreement":null},{"id":"W2121004699","doi":"10.1504/ijamc.2009.026849","title":"Rapid impingement detection and surface distance measurement system for real-time ball-and-socket joint motion simulation","year":2009,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Hip disorders and treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Ball (mathematics); Joint (building); Kinematics; Motion capture; Motion analysis; Computer vision; Artificial intelligence; Simulation; Motion (physics); Geometry; Mathematics; Physics; Engineering","score_opus":0.027273628790971626,"score_gpt":0.29706263949778283,"score_spread":0.2697890107068112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121004699","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020648241,0.00009645801,0.97033197,0.00008145819,0.000093562456,0.00014484784,0.0001295548,0.0073945993,0.0010793753],"genre_scores_gemma":[0.41898397,0.00013989535,0.57656455,0.00013937759,0.00005463187,0.0004750274,0.0003472795,0.00030796573,0.0029872616],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991511,0.0001986397,0.00006501184,0.00010494665,0.00044196748,0.00003828316],"domain_scores_gemma":[0.99875104,0.00046023756,0.00009757246,0.0001956,0.00041021794,0.000085311025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011709767,0.0005272223,0.00068902393,0.000748931,0.00021754297,0.0005771536,0.00088556984,0.00069855584,0.0066011003],"category_scores_gemma":[0.0026387726,0.00031305454,0.00025492135,0.00034184716,0.00030738037,0.00058721856,0.0008025476,0.00042037864,0.0010587419],"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":[0.0022536926,0.0003922582,0.0069056046,0.0004043229,0.00012797178,0.00046159668,0.00057568826,0.08946697,0.35421312,0.007971718,0.015703809,0.5215233],"study_design_scores_gemma":[0.00020753362,0.00079368666,0.0040891296,0.000025090467,0.00005723275,0.0005876198,0.00005484962,0.89441985,0.083073705,0.0014486574,0.015126642,0.00011592214],"about_ca_topic_score_codex":0.00082547066,"about_ca_topic_score_gemma":0.0008267424,"teacher_disagreement_score":0.0066011003,"about_ca_system_score_codex":0.00033762323,"about_ca_system_score_gemma":0.0005939849,"threshold_uncertainty_score":0.022082865},"labels":[],"label_agreement":null},{"id":"W2129743158","doi":"10.1504/ijamc.2009.026853","title":"Reduction of doubtful detection of micro-nucleus in human lymphocyte","year":2009,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Deconvolution; Computer science; Focus (optics); Point spread function; Gaussian blur; Gaussian; Noise (video); Computation; Wiener filter; Gaussian noise; Gaussian process; Spatial reference system; Computer vision; Noise reduction; Motion blur; Algorithm; Process (computing); Artificial intelligence; Image processing; Image (mathematics); Image restoration; Optics; Physics","score_opus":0.008375048540009453,"score_gpt":0.2743781295328771,"score_spread":0.2660030809928676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129743158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82450414,0.0051139574,0.16642556,0.00040578976,0.00015154756,0.000060127986,0.00011300649,0.00085943635,0.0023664916],"genre_scores_gemma":[0.9295724,0.0013952396,0.066291325,0.00010736967,0.000068587804,0.000026524356,0.00015454642,0.000069417605,0.0023145382],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99955064,0.00009829714,0.000019580133,0.000060454782,0.00021628187,0.000054725107],"domain_scores_gemma":[0.99885213,0.00047540624,0.00009926434,0.00011112944,0.00039670191,0.000065258144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074561033,0.00033075572,0.0003991924,0.00066915754,0.0002412834,0.00053176255,0.00045900722,0.0007726611,0.0012333913],"category_scores_gemma":[0.0021354326,0.00019652919,0.00027885102,0.00023270125,0.0003441474,0.00043535532,0.0005621588,0.00037157172,0.000526384],"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":[0.0017191265,0.00008454222,0.019640878,0.000496188,0.000051691353,0.0010412843,0.00045472037,0.0014608923,0.7134857,0.00060648035,0.0011631331,0.25979528],"study_design_scores_gemma":[0.00002985939,0.0009218226,0.056444008,0.00003814091,0.00017382653,0.008221284,0.0004209562,0.052286554,0.87647057,0.0011031929,0.0038279935,0.0000616661],"about_ca_topic_score_codex":0.00051442895,"about_ca_topic_score_gemma":0.00077435875,"teacher_disagreement_score":0.0012333913,"about_ca_system_score_codex":0.0002127222,"about_ca_system_score_gemma":0.00021641691,"threshold_uncertainty_score":0.0041261315},"labels":[],"label_agreement":null},{"id":"W2150566632","doi":"10.1504/ijamc.2009.026864","title":"Standard calibration procedures for automated non-invasive measurement of blood pressure","year":2009,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Calibration; Reliability engineering; Medical physics; Data mining; Medicine; Statistics","score_opus":0.02254002780795284,"score_gpt":0.30273810190947464,"score_spread":0.2801980741015218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150566632","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076496094,0.006912247,0.970296,0.000668259,0.0015957088,0.0018403974,0.0007548036,0.0034017998,0.0068809893],"genre_scores_gemma":[0.05105857,0.007203333,0.9228858,0.001234321,0.0008399704,0.007813102,0.0025070787,0.0012777762,0.005180139],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9100419,0.024176894,0.007712185,0.005389331,0.051445175,0.0012343752],"domain_scores_gemma":[0.93596125,0.019146549,0.005010238,0.013533049,0.025717225,0.0006316487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04681918,0.001977839,0.0023383764,0.005922371,0.0021087423,0.0031106803,0.006272208,0.003893241,0.0049120393],"category_scores_gemma":[0.08964635,0.0013807268,0.0015511304,0.003855814,0.002456961,0.002494552,0.0038605845,0.0040538064,0.008041361],"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":[0.0014924281,0.00096469646,0.01295571,0.0062016547,0.0003769744,0.0005581287,0.00236079,0.0039824126,0.1908528,0.024001276,0.041578554,0.71467465],"study_design_scores_gemma":[0.00044270215,0.0035151606,0.048721794,0.005802682,0.00084105344,0.0090385685,0.0015969084,0.025347551,0.4264236,0.027200574,0.4500052,0.001064294],"about_ca_topic_score_codex":0.0009577807,"about_ca_topic_score_gemma":0.0013967748,"teacher_disagreement_score":0.04681918,"about_ca_system_score_codex":0.0011216882,"about_ca_system_score_gemma":0.0034727775,"threshold_uncertainty_score":0.24760646},"labels":[],"label_agreement":null},{"id":"W2162394890","doi":"10.1504/ijamc.2009.026857","title":"Health status and air quality parameters monitoring based on mobile technology and WPAN","year":2009,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bluetooth; Computer science; Wireless; Personal area network; Phone; Mobile phone; Identification (biology); Real-time computing; Node (physics); Software; Embedded system; Telecommunications; Operating system","score_opus":0.03311786239827077,"score_gpt":0.3942151470074472,"score_spread":0.36109728460917645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162394890","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3077765,0.014585851,0.64101595,0.001107509,0.000572038,0.00025505814,0.0002975652,0.00080125034,0.033588294],"genre_scores_gemma":[0.8572225,0.004539403,0.12904695,0.00037463932,0.00037127922,0.00021504376,0.00018876985,0.000038066555,0.008003321],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997532,0.00006624811,0.000011170459,0.000054427415,0.00010151472,0.000013385491],"domain_scores_gemma":[0.99983346,0.00008811355,0.000021151003,0.000013290539,0.000036756494,0.0000072587823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020063174,0.00032063894,0.00034342817,0.00060790934,0.00015185482,0.00048202678,0.00026469826,0.00046162916,0.00069670024],"category_scores_gemma":[0.0005763052,0.00013712549,0.00022734013,0.00041384087,0.000254051,0.00064577325,0.0004387138,0.00023472145,0.00023257504],"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":[0.00066043466,0.0001494801,0.016960403,0.000645448,0.00016241192,0.0011793625,0.0003512449,0.011275874,0.22677891,0.008598369,0.0019018478,0.73133624],"study_design_scores_gemma":[0.00017459963,0.0042722914,0.14711125,0.00057933346,0.001067746,0.0144231375,0.0008039238,0.42991632,0.27140635,0.026303215,0.10363226,0.00030958306],"about_ca_topic_score_codex":0.00036434754,"about_ca_topic_score_gemma":0.0005971919,"teacher_disagreement_score":0.00069670024,"about_ca_system_score_codex":0.00017814165,"about_ca_system_score_gemma":0.00008329095,"threshold_uncertainty_score":0.0023306608},"labels":[],"label_agreement":null},{"id":"W2163674277","doi":"10.1504/ijamc.2008.020179","title":"Meaningful access: policy, management and orchestration","year":2008,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Espace pour la vie","funders":"","keywords":"Computer science; Orchestration; Search engine indexing; Matching (statistics); Metaphor; Knowledge management; Tracing; Slicing; Control (management); Data science; World Wide Web; Artificial intelligence; Programming language","score_opus":0.033267745441345815,"score_gpt":0.31520360392352553,"score_spread":0.2819358584821797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163674277","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018481597,0.0021822562,0.8543692,0.024916433,0.00043366267,0.0007128068,0.00042488164,0.002647536,0.09583156],"genre_scores_gemma":[0.65543526,0.0036000235,0.29020196,0.0025892723,0.00103411,0.0016622584,0.0010059997,0.0013069942,0.04316411],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9866453,0.0053421934,0.0013651802,0.001956351,0.0034869113,0.0012041734],"domain_scores_gemma":[0.9860811,0.0052055763,0.0013136447,0.0036460059,0.0019859702,0.0017677064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017426997,0.0005404686,0.00083973556,0.002874874,0.0034482596,0.018528584,0.0028909305,0.0042955196,0.0059060976],"category_scores_gemma":[0.026397571,0.0008362923,0.00066928315,0.003270566,0.0085994955,0.02334267,0.008737492,0.0034560647,0.0028192208],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030280435,0.000071001596,0.0011328026,0.00009121141,0.00002082607,0.00014943934,0.0020605498,0.003381669,0.0009511538,0.94333774,0.006577028,0.042196386],"study_design_scores_gemma":[0.000018259543,0.000025660851,0.0005120867,0.000161692,0.00002049263,0.00016785064,0.0013467115,0.017073292,0.0012875663,0.8408817,0.13845336,0.00005139495],"about_ca_topic_score_codex":0.0056331414,"about_ca_topic_score_gemma":0.0026867662,"teacher_disagreement_score":0.018528584,"about_ca_system_score_codex":0.0049592275,"about_ca_system_score_gemma":0.009020625,"threshold_uncertainty_score":0.09216386},"labels":[],"label_agreement":null},{"id":"W2164704960","doi":"10.1504/ijamc.2008.016212","title":"Social Network Analysis techniques: implications for information and knowledge sharing in virtual learning communities","year":2007,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":27,"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 Saskatchewan","funders":"","keywords":"Computer science; Knowledge sharing; Virtual community; Knowledge management; Social network analysis; Affect (linguistics); Information sharing; Social network (sociolinguistics); Learning community; Data science; World Wide Web; The Internet; Social media; Mathematics education; Sociology","score_opus":0.030217556976811284,"score_gpt":0.3719483783869157,"score_spread":0.3417308214101044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164704960","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0630105,0.0020300732,0.92018056,0.0033022026,0.00020085443,0.00052899827,0.0003220322,0.000384759,0.010040089],"genre_scores_gemma":[0.51172185,0.002334711,0.48222744,0.00021813074,0.00030043622,0.0010261653,0.00022571375,0.0000944159,0.001851219],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9926784,0.0054522897,0.00019910627,0.0003709994,0.0011034635,0.00019565652],"domain_scores_gemma":[0.94514424,0.048647225,0.0025902074,0.0015194049,0.0015451465,0.00055380986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009758698,0.0011435531,0.00087777275,0.00878874,0.0022752092,0.0037979123,0.0012101913,0.0012508609,0.0031104407],"category_scores_gemma":[0.035395585,0.00046359017,0.0008947584,0.00755304,0.0030253816,0.008599568,0.0026024214,0.0019614066,0.0005701361],"study_design_candidate":"qualitative","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":[0.00024910714,0.0006039484,0.03737229,0.0015600363,0.00066105626,0.0010178046,0.021174937,0.06093444,0.0043605175,0.44054815,0.005841481,0.42567623],"study_design_scores_gemma":[0.00006039149,0.00016618744,0.013041283,0.00049447897,0.0001525202,0.00092226604,0.0146903405,0.32377574,0.0021229046,0.6247758,0.019635707,0.0001622939],"about_ca_topic_score_codex":0.0026020848,"about_ca_topic_score_gemma":0.0030196053,"teacher_disagreement_score":0.009758698,"about_ca_system_score_codex":0.0011913708,"about_ca_system_score_gemma":0.0014222296,"threshold_uncertainty_score":0.051609516},"labels":[],"label_agreement":null},{"id":"W2173474217","doi":"10.1504/ijamc.2009.026862","title":"Comparative analysis of tactile sensitivity between blind, deaf and unimpaired people","year":2009,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Universidade Estadual de Campinas; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Visually impaired; Audiology; Hearing impaired; Computer science; Sensitivity (control systems); Deaf blind; Speech recognition; Physical medicine and rehabilitation; Medicine; Human–computer interaction; Engineering","score_opus":0.04654419350387965,"score_gpt":0.35273071379661913,"score_spread":0.30618652029273946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2173474217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99754757,0.00012974389,0.0010408212,0.0000079432375,0.0000064665696,0.000012593156,0.00011818927,0.0000128697075,0.0011238629],"genre_scores_gemma":[0.9987218,0.000059313086,0.0006955597,0.000014622013,0.000006689945,0.000015637657,0.000093293806,0.0000059779964,0.00038710813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992624,0.00012474052,0.00010131975,0.00018086846,0.00022730666,0.000103368366],"domain_scores_gemma":[0.9979254,0.001122631,0.00016587772,0.000117922005,0.00041669694,0.00025143093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000987481,0.0002527565,0.0004252979,0.0025984626,0.00032457197,0.00052781665,0.00019116081,0.00029210435,0.0037179939],"category_scores_gemma":[0.005736183,0.00014775926,0.00030447362,0.0005100476,0.00041221865,0.0005013049,0.00085452595,0.00018032109,0.00049057626],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0049084197,0.0003173782,0.6493051,0.00067999767,0.00044705626,0.002120337,0.014108806,0.00056115625,0.17400663,0.0010694572,0.0007224883,0.15175316],"study_design_scores_gemma":[0.000021390553,0.00086869765,0.98065495,0.000026222355,0.00009807557,0.0035306367,0.0031271728,0.00055036164,0.0097256,0.0006090334,0.00075010967,0.00003762381],"about_ca_topic_score_codex":0.0007590801,"about_ca_topic_score_gemma":0.0011135897,"teacher_disagreement_score":0.0037179939,"about_ca_system_score_codex":0.00012367057,"about_ca_system_score_gemma":0.00018533262,"threshold_uncertainty_score":0.01243794},"labels":[],"label_agreement":null},{"id":"W2174957696","doi":"10.1504/ijamc.2009.026850","title":"MRI image enhancement by PROPELLER data fusion","year":2009,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Propeller; Computer vision; Image (mathematics); Image fusion; Artificial intelligence; Image enhancement; Sensor fusion; Geology","score_opus":0.021766160197222217,"score_gpt":0.35963537400571527,"score_spread":0.33786921380849305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2174957696","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0142041035,0.00057173765,0.9824509,0.0002102828,0.000060205104,0.00004163387,0.0000717794,0.000813847,0.0015754193],"genre_scores_gemma":[0.15366447,0.0011347942,0.8413246,0.00021299916,0.00012382069,0.000055218305,0.00034570685,0.00020651202,0.0029318323],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999463,0.00010906673,0.00003424133,0.00009066618,0.0002615863,0.000041361032],"domain_scores_gemma":[0.9994424,0.0001765641,0.00007820487,0.000112024805,0.00017095481,0.000019876876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008249183,0.0006501578,0.00062970334,0.0010134141,0.0002426607,0.0007347689,0.00070863334,0.00067574205,0.0019139253],"category_scores_gemma":[0.0019156932,0.00032017796,0.0004794457,0.0009970024,0.00036358312,0.0011531662,0.0010239512,0.0006334335,0.0010792398],"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":[0.00050494995,0.00006920397,0.0007593556,0.00031473362,0.000076055214,0.0004856797,0.00016242654,0.03508818,0.31733993,0.005668389,0.0031793325,0.6363519],"study_design_scores_gemma":[0.000041996656,0.00044273646,0.0021194133,0.000052324576,0.00009334441,0.0031280734,0.00007728257,0.560575,0.39046767,0.007149914,0.035738684,0.00011369557],"about_ca_topic_score_codex":0.00039591733,"about_ca_topic_score_gemma":0.000600709,"teacher_disagreement_score":0.0019139253,"about_ca_system_score_codex":0.00019238997,"about_ca_system_score_gemma":0.0003325856,"threshold_uncertainty_score":0.006402731},"labels":[],"label_agreement":null},{"id":"W2177408885","doi":"10.1504/ijamc.2009.026861","title":"Haptic rehabilitation exercises performance evaluation using automated inference systems","year":2009,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Haptic technology; Consistency (knowledge bases); Adaptive neuro fuzzy inference system; Inference; Inference system; Fuzzy inference system; Machine learning; Rehabilitation; Artificial intelligence; Fuzzy logic; Human–computer interaction; Data mining; Fuzzy control system; Medicine","score_opus":0.04275193238393751,"score_gpt":0.3579251598587203,"score_spread":0.3151732274747828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2177408885","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36356923,0.00021377817,0.6297203,0.00014822329,0.00007158579,0.0002996621,0.00021457253,0.002597831,0.0031648378],"genre_scores_gemma":[0.9330399,0.0000553748,0.06589961,0.000027536867,0.000018994195,0.000115691,0.00008777142,0.000025885078,0.0007291887],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99865013,0.00046314797,0.00012125696,0.00018451414,0.00052042666,0.000060492206],"domain_scores_gemma":[0.99659145,0.0022213855,0.00025499257,0.00022572506,0.0006576913,0.00004882559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016445458,0.00051040796,0.0004360055,0.00079051394,0.00024550498,0.0006830501,0.0005280826,0.00052997837,0.0017028174],"category_scores_gemma":[0.0071658245,0.0001774845,0.0002500489,0.0003140383,0.00032538,0.0004281158,0.00042005957,0.00037406778,0.00027155434],"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":[0.0019010239,0.0006398013,0.010171214,0.00047820984,0.00018656428,0.00018984938,0.00070245686,0.15749249,0.09657163,0.0019432234,0.0012713041,0.7284522],"study_design_scores_gemma":[0.00015416862,0.001156969,0.023312451,0.000048185135,0.00007038416,0.00021545688,0.00011564086,0.92868495,0.043624073,0.0012870005,0.0012404968,0.00009014557],"about_ca_topic_score_codex":0.002643495,"about_ca_topic_score_gemma":0.00215558,"teacher_disagreement_score":0.002643495,"about_ca_system_score_codex":0.00038506382,"about_ca_system_score_gemma":0.00034041813,"threshold_uncertainty_score":0.008697331},"labels":[],"label_agreement":null}]}