{"id":"W2792919287","doi":"10.1038/nmeth.4642","title":"Statistics versus machine learning","year":2018,"lang":"en","type":"article","venue":"Nature Methods","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1490,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"National Institute of Mental Health","keywords":"Computer science; Statistics; Computational biology; Artificial intelligence; Machine learning; Biology; 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":[],"consensus_categories":[],"category_scores_codex":[0.004210261,0.0008910843,0.001702876,0.002522758,0.0006230571,0.003235282,0.001116919,0.002130516,0.009107503],"category_scores_gemma":[0.02289576,0.0004156681,0.0005260171,0.002849216,0.004569483,0.006264037,0.00140976,0.004475145,0.004436928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005666,"about_ca_system_score_gemma":0.001615751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007066113,"about_ca_topic_score_gemma":0.0005569596,"domain_scores_codex":[0.9960925,0.002162263,0.0001879351,0.0005074529,0.0009463341,0.0001034236],"domain_scores_gemma":[0.9808692,0.01501765,0.0009163187,0.001655629,0.001144356,0.0003967817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001856639,0.00001855067,0.0003377091,0.0001288985,0.00002286671,0.00001979315,0.00006249643,0.002107956,0.0001990365,0.9329383,0.01053243,0.05361339],"study_design_scores_gemma":[0.000006424763,0.00002027639,0.0002316436,0.00006119444,0.00001062301,0.00005159565,0.00002835625,0.01190138,0.0002630832,0.9617439,0.02567149,0.00001006278],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007758165,0.03953385,0.8675465,0.02344152,0.005838877,0.00004054062,0.0005488429,0.001153755,0.05413797],"genre_scores_gemma":[0.4650272,0.04615608,0.3513473,0.01374853,0.03408252,0.0006171622,0.001487545,0.002560727,0.084973],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009107503,"threshold_uncertainty_score":0.03046763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02982139966341541,"score_gpt":0.4125295686340756,"score_spread":0.3827081689706602,"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."}}