{"id":"W2772747611","doi":"10.1038/nmeth.4526","title":"Machine learning: a primer","year":2017,"lang":"es","type":"article","venue":"Nature Methods","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":241,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"National Institute of Mental Health","keywords":"Primer (cosmetics); Computational biology; Computer science; Biology; Artificial intelligence; Chemistry","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00115591,0.0002282715,0.0002777311,0.000053037,0.001294372,0.001145592,0.002152096,0.0004380011,0.00005623847],"category_scores_gemma":[0.0004986198,0.000187855,0.0001554343,0.0001782226,0.0001368911,0.0003101255,0.000825551,0.002075185,0.00007399474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001867388,"about_ca_system_score_gemma":0.00004793028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004474928,"about_ca_topic_score_gemma":0.000002256776,"domain_scores_codex":[0.998166,0.0004410464,0.0002039086,0.0005967992,0.0002352218,0.0003570554],"domain_scores_gemma":[0.997326,0.0003256321,0.0003502396,0.001737481,0.000109315,0.0001513184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005868996,0.0000516164,0.002992954,0.00001766165,0.00003222571,0.000009944889,0.0000616062,0.00004485507,0.002533504,0.2012369,0.002062836,0.7909501],"study_design_scores_gemma":[0.0001951477,0.00004931095,0.02079932,0.00003968658,0.00002959664,0.00001580118,0.000001195496,0.0852303,0.004404395,0.006209633,0.8827748,0.0002508369],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001484856,0.01625719,0.9129555,0.02383812,0.002802189,0.0004295029,0.000008815775,0.0002402245,0.04198364],"genre_scores_gemma":[0.3099292,0.0005159606,0.6797559,0.0008032121,0.0008103846,0.00001825631,0.000003720035,0.00002474686,0.008138582],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8807119,"threshold_uncertainty_score":0.9998913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03465492183432028,"score_gpt":0.4239045969834016,"score_spread":0.3892496751490813,"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."}}