{"id":"W4401419345","doi":"10.1371/journal.pcbi.1012296","title":"Ten simple rules for recognizing data and software contributions in hiring, promotion, and tenure","year":2024,"lang":"en","type":"editorial","venue":"PLoS Computational Biology","topic":"Research Data Management Practices","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; Wellcome Trust; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; U.S. Department of Energy; Foundation for the National Institutes of Health","keywords":"Promotion (chess); Public relations; Best practice; Open science; Scholarship; Political science; Business; Politics","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001206249,0.0002036989,0.0003080824,0.0003727437,0.000166293,0.001120575,0.001258668,0.0002849178,0.000002684523],"category_scores_gemma":[0.009937038,0.0001875493,0.00002112372,0.0002197992,0.0001305992,0.003348778,0.003045668,0.0004994661,0.00001101568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006702498,"about_ca_system_score_gemma":0.0003340784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004524064,"about_ca_topic_score_gemma":0.00007283493,"domain_scores_codex":[0.9976352,0.0002094261,0.0003589352,0.001166698,0.0002958267,0.0003339436],"domain_scores_gemma":[0.9935968,0.005219972,0.0001763951,0.0005367537,0.0003923694,0.00007773099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000233572,0.0001279449,0.0005765917,0.0006849892,0.0002774082,0.00002595679,0.00006428426,0.00004860697,0.00001005315,0.03891177,0.939063,0.02018604],"study_design_scores_gemma":[0.0005206363,0.0001724546,0.0003544121,0.0001470956,0.000047052,0.000006111237,0.000008070355,0.08382559,0.000001442987,0.1293769,0.7852924,0.0002477959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003561837,0.003255132,0.8536448,0.009730821,0.1072044,0.001767808,0.02371297,0.0002798004,0.00004804488],"genre_scores_gemma":[0.002972037,0.003519544,0.5015804,0.0002547122,0.281137,0.0009036443,0.2088947,0.0001148466,0.0006231838],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3520644,"threshold_uncertainty_score":0.9999164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0997435384639628,"score_gpt":0.3973171110605259,"score_spread":0.2975735725965631,"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."}}