{"id":"W4398551252","doi":"10.7910/dvn/eaxeet/hpufsn","title":"TopCitedWorks.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001153093,0.003425101,0.002195552,0.009543831,0.001500152,0.005749622,0.00433987,0.002770827,0.2229425],"category_scores_gemma":[0.007358201,0.0009230016,0.001434351,0.01378505,0.0008329068,0.002793547,0.004292787,0.002144279,0.304282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001963664,"about_ca_system_score_gemma":0.00269691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01758204,"about_ca_topic_score_gemma":0.02142219,"domain_scores_codex":[0.9987013,0.0001826812,0.0001557699,0.0003931166,0.0002971695,0.0002699416],"domain_scores_gemma":[0.997281,0.0005635797,0.0002175002,0.0009089299,0.00058972,0.0004394217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003326854,0.00001333386,0.0002402239,0.0004562515,0.00001480242,0.00001367422,0.00001964259,0.00007217363,0.00007424946,0.0006010797,0.9967518,0.001709629],"study_design_scores_gemma":[0.0001524428,0.00001403208,0.001112906,0.0002835565,0.00001944723,0.00004122464,0.00008348663,0.0002297426,0.0004165295,0.001411987,0.9962128,0.00002184396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001082575,0.00008332149,0.00006498949,0.00009118241,0.00004476368,0.0000114536,0.9967011,0.001011813,0.00188312],"genre_scores_gemma":[0.0003902282,0.00008955981,0.0001878136,0.00005577923,0.00001273508,0.00005634693,0.9977276,0.0002455686,0.001234487],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9904562,"threshold_uncertainty_score":0.7458168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02511419968443569,"score_gpt":0.252579917733992,"score_spread":0.2274657180495563,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}