{"id":"W2626184467","doi":"10.5489/cuaj.4653","title":"In search of the perfect model","year":2017,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006600866,0.001039806,0.002203772,0.00195836,0.003901701,0.005388548,0.002647219,0.004404814,0.01622145],"category_scores_gemma":[0.01624378,0.0005163747,0.0006963774,0.0007878004,0.0171128,0.0170834,0.004589406,0.01114163,0.003502061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003006878,"about_ca_system_score_gemma":0.003702896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004889093,"about_ca_topic_score_gemma":0.004777967,"domain_scores_codex":[0.9973901,0.001151416,0.00007905805,0.0005894529,0.0005742485,0.0002157744],"domain_scores_gemma":[0.9926358,0.003284481,0.0005242981,0.001098322,0.001421153,0.001036004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003574383,0.00002001517,0.0001776664,0.00006633344,0.00002130729,0.00003687273,0.0001301593,0.0005056859,0.00006138294,0.9823722,0.0125629,0.00400967],"study_design_scores_gemma":[0.00001876279,0.000008217934,0.00005816087,0.00003003473,0.000004878614,0.00002105706,0.00006668202,0.0007803047,0.00002422074,0.9883993,0.01058121,0.00000715338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01743557,0.02291648,0.0988818,0.6343727,0.01178622,0.00007585859,0.0009006017,0.0005785347,0.2130523],"genre_scores_gemma":[0.7837886,0.01539938,0.04460127,0.09495095,0.01280256,0.0004412581,0.0006592665,0.0005396832,0.04681707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01622145,"threshold_uncertainty_score":0.05426621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406328230135062,"score_gpt":0.2500666355196062,"score_spread":0.2360033532182556,"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."}}