{"id":"W2975863049","doi":"10.1038/s41592-019-0585-6","title":"Voices in methods development","year":2019,"lang":"en","type":"article","venue":"Nature Methods","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute","funders":"National Institute of Allergy and Infectious Diseases; Biotechnology and Biological Sciences Research Council; National Cancer Institute; Medical Research Council; National Institute of General Medical Sciences; Wellcome Trust","keywords":"Data science; Engineering ethics; Biology; Computational biology; Computer science; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00332053,0.0001689885,0.0002234899,0.0001400054,0.00003597483,0.00002938052,0.0004027306,0.0006623786,0.0001005698],"category_scores_gemma":[0.0008881552,0.0001345752,0.00007480544,0.0002298797,0.0000698217,0.000004028763,0.0002701696,0.0005396068,0.00006118698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002906104,"about_ca_system_score_gemma":0.0001953137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005255266,"about_ca_topic_score_gemma":0.00002281883,"domain_scores_codex":[0.998206,0.0004361251,0.0003396148,0.0003377185,0.0002748857,0.0004057038],"domain_scores_gemma":[0.9991775,0.000121721,0.00006718772,0.0003938746,0.0001016969,0.0001380063],"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":[0.00005728367,0.00005818769,0.003072919,0.0001001997,0.00004244453,0.000003089735,0.0002051373,0.000006103076,0.4088482,0.00007615612,0.0009848109,0.5865455],"study_design_scores_gemma":[0.0003705138,0.00008266526,0.008108814,0.00001647078,0.000003247835,0.000007558042,0.0001041335,0.0002106036,0.4327849,0.0001833501,0.5579512,0.0001765569],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7154916,0.01087924,0.2240917,0.0008933279,0.002852499,0.00114753,0.00001120116,0.00004840575,0.04458449],"genre_scores_gemma":[0.05540941,0.0002252878,0.9397495,0.0007376636,0.0001515917,0.00001742763,0.00005802756,0.0000180557,0.003633048],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7156578,"threshold_uncertainty_score":0.5487815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01994502951856808,"score_gpt":0.4264663867461698,"score_spread":0.4065213572276017,"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."}}