{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3254802,0.001796117,0.003134541,0.004467706,0.009327097,0.02749548,0.006149147,0.02487912,0.01504083],"category_scores_gemma":[0.3977863,0.001974076,0.001352066,0.00267601,0.05134303,0.0359004,0.022799,0.05945222,0.006164073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008004789,"about_ca_system_score_gemma":0.01681451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004333331,"about_ca_topic_score_gemma":0.00430832,"domain_scores_codex":[0.7713681,0.1584062,0.009528007,0.01420763,0.04114909,0.005341013],"domain_scores_gemma":[0.4189839,0.4981061,0.005703249,0.027238,0.03324623,0.01672249],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008284635,0.00005309929,0.0007743062,0.0003977015,0.0000594643,0.0001368721,0.007017963,0.0002323803,0.0002780604,0.7398435,0.1793527,0.07177117],"study_design_scores_gemma":[0.00006563932,0.00002122697,0.0002777827,0.001293337,0.00002592761,0.0001415922,0.002208184,0.000688718,0.0003150138,0.5679799,0.4269213,0.00006144196],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00061367,0.01744285,0.03212269,0.9225379,0.01063969,0.0000403868,0.0001008657,0.0002513502,0.01625045],"genre_scores_gemma":[0.1034591,0.02183006,0.09031231,0.6908587,0.04470239,0.001035697,0.000423629,0.003874457,0.04350359],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.6745198,"threshold_uncertainty_score":0.831803,"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."}}