{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005704275,0.0002546906,0.0004571551,0.0001135441,0.0002928429,0.00004941114,0.0003851005,0.0004773889,0.001499326],"category_scores_gemma":[0.01772189,0.0002008163,0.0001459557,0.000639153,0.0002102746,0.00005402751,0.0001361593,0.001347573,0.00005867536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003633163,"about_ca_system_score_gemma":0.00003507715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001138947,"about_ca_topic_score_gemma":0.000003204783,"domain_scores_codex":[0.9955251,0.002982631,0.0003957833,0.0004759739,0.0002344358,0.0003860442],"domain_scores_gemma":[0.989817,0.008954464,0.0001325359,0.0006321003,0.0002758261,0.0001880475],"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":[0.00001734672,0.00006076529,0.00006531495,0.00002815284,0.00003658771,0.000001274141,0.0001756311,9.970594e-8,0.01410431,0.5149069,0.001729069,0.4688746],"study_design_scores_gemma":[0.0002525201,0.00009701218,0.0002281174,0.00001212579,0.00007932062,0.00001191284,0.00003792552,0.006212804,0.03637119,0.6493087,0.3071685,0.0002198786],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002547428,0.0006513222,0.9608967,0.0007540339,0.0004942829,0.0002701146,0.0000170709,0.0002853902,0.0363764],"genre_scores_gemma":[0.001641589,0.000022594,0.9942813,0.0005808001,0.0005718272,0.00005998947,0.000009290375,0.00006354347,0.002769093],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4686547,"threshold_uncertainty_score":0.9994134,"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."}}