{"id":"W6958895107","doi":"10.7939/dvn/nd1f1a/ylnlwr","title":"diawri.F90","year":2020,"lang":"en","type":"dataset","venue":"University of Alberta Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009780411,0.004082575,0.001612269,0.006856959,0.001354044,0.003281351,0.00310984,0.003096512,0.1333206],"category_scores_gemma":[0.005223876,0.0008634597,0.001971444,0.009971121,0.0007453248,0.00136838,0.002033459,0.001815138,0.227848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002837307,"about_ca_system_score_gemma":0.004789711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.162553,"about_ca_topic_score_gemma":0.2579272,"domain_scores_codex":[0.9988801,0.0001597761,0.00007168028,0.0003361329,0.0002791853,0.0002731368],"domain_scores_gemma":[0.9981896,0.0003849885,0.0001197487,0.0004093267,0.0005471482,0.0003492485],"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":[0.00004077126,0.00001577756,0.0002179927,0.000306449,0.00001499132,0.00001003237,0.00001096131,0.0001790288,0.00004767362,0.0001627139,0.9973347,0.001658848],"study_design_scores_gemma":[0.0003296631,0.00003232771,0.003523607,0.0003761892,0.00005467033,0.00005483334,0.0001307124,0.0008417768,0.0003451665,0.001209704,0.9930573,0.00004412871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001740956,0.0001981626,0.00005370667,0.00008200511,0.00004373318,0.0000114729,0.9972417,0.0006688028,0.001526235],"genre_scores_gemma":[0.0003391612,0.0001097038,0.0002104696,0.00005930603,0.00001057222,0.00003211901,0.9975198,0.0000981663,0.001620687],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8666794,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008608325101929978,"score_gpt":0.1694749820540099,"score_spread":0.16086665695208,"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."}}