{"id":"W2782098519","doi":"10.1038/nmeth.4551","title":"Machine learning: supervised methods","year":2018,"lang":"en","type":"article","venue":"Nature Methods","topic":"Statistical Methods and Applications","field":"Mathematics","cited_by":337,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"National Institute of Mental Health","keywords":"Computer science; Machine learning; Artificial intelligence; Computational biology; Biology","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":[0.003930425,0.001311889,0.001974431,0.001926282,0.0006670684,0.003245694,0.002335957,0.00263546,0.009249214],"category_scores_gemma":[0.01652329,0.0008769095,0.001183658,0.00252002,0.001822829,0.003668671,0.0030736,0.005401482,0.01102174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008931452,"about_ca_system_score_gemma":0.001713108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005233508,"about_ca_topic_score_gemma":0.0007798478,"domain_scores_codex":[0.9951577,0.002342031,0.0002571164,0.0009663788,0.001182509,0.00009430788],"domain_scores_gemma":[0.9915234,0.004651348,0.0004464753,0.001961284,0.001210651,0.0002069257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006779406,0.0001724271,0.0008119177,0.001657729,0.0002057092,0.00009092929,0.0001452418,0.03188498,0.001768566,0.2334694,0.09355584,0.6361694],"study_design_scores_gemma":[0.00003370805,0.00003505403,0.0006663823,0.0002770073,0.00006274933,0.0002943245,0.00004410636,0.3349596,0.002172288,0.5877841,0.07362077,0.00004999307],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007678173,0.004736723,0.9876568,0.0009734045,0.0004351736,0.00004254588,0.0002265584,0.001241267,0.003919682],"genre_scores_gemma":[0.0550506,0.007844029,0.9121589,0.001028924,0.002722189,0.0006851376,0.001354816,0.001272719,0.01788273],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009249214,"threshold_uncertainty_score":0.03094167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1092847856395517,"score_gpt":0.5430386300648095,"score_spread":0.4337538444252578,"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."}}