{"id":"W3202602851","doi":"10.3390/genes12101523","title":"Silver: Forging almost Gold Standard Datasets","year":2021,"lang":"en","type":"article","venue":"Genes","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; McGill University Health Centre","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Forging; Gold standard (test); Metallurgy; Biology; Computational biology; Computer science; Engineering drawing; Materials science; Engineering; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.03700494,0.002938494,0.002342261,0.008791424,0.002804448,0.005009438,0.005547412,0.004205749,0.003350717],"category_scores_gemma":[0.07623379,0.0008991268,0.003065551,0.006913729,0.00285555,0.003060546,0.005421251,0.003114646,0.003378588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002580471,"about_ca_system_score_gemma":0.00318586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003278068,"about_ca_topic_score_gemma":0.005336567,"domain_scores_codex":[0.9622413,0.01577471,0.00448595,0.006459177,0.009997427,0.001041446],"domain_scores_gemma":[0.9493364,0.02144488,0.002702581,0.01610682,0.009678282,0.0007309926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003208104,0.001411258,0.04407511,0.007754485,0.003166894,0.0008935157,0.001393419,0.08978545,0.05445599,0.05534858,0.2765982,0.4619089],"study_design_scores_gemma":[0.0008423595,0.001563546,0.02941342,0.001510485,0.0008298644,0.00129204,0.001536551,0.4205872,0.1203027,0.1405484,0.2810826,0.0004907045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1017074,0.004480797,0.7508827,0.002711703,0.001958931,0.002971368,0.08967946,0.03260317,0.01300443],"genre_scores_gemma":[0.1318809,0.000762616,0.6865575,0.001498725,0.0001552961,0.005555579,0.1682933,0.003031407,0.002264617],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03700494,"threshold_uncertainty_score":0.1957031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00808249348705134,"score_gpt":0.2357437485469919,"score_spread":0.2276612550599406,"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."}}