{"id":"W4388522104","doi":"10.1371/journal.pone.0293879","title":"An international consensus on effective, inclusive, and career-spanning short-format training in the life sciences and beyond","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"CNIB Foundation; Queen's University","funders":"Directorate for Education and Human Resources; Cold Spring Harbor Laboratory; National Science Foundation","keywords":"Equity (law); Stakeholder; Inclusion (mineral); Medical education; Delphi method; Public relations; Political science; Psychology; Medicine; Computer science; Sociology; Social science","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":[0.1902558,0.002103728,0.002718669,0.00663298,0.005481796,0.01397894,0.008359822,0.0155488,0.006976582],"category_scores_gemma":[0.1470625,0.001523886,0.003821395,0.006137016,0.01016291,0.01682651,0.02237517,0.01974296,0.003101492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01195227,"about_ca_system_score_gemma":0.09376536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006537494,"about_ca_topic_score_gemma":0.005249159,"domain_scores_codex":[0.8509113,0.06381228,0.02717599,0.01101106,0.03790593,0.009183519],"domain_scores_gemma":[0.7975498,0.08535243,0.01090269,0.0127162,0.07115524,0.02232369],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002838016,0.0005205395,0.005088564,0.02518544,0.0004200725,0.00106521,0.05493182,0.003446202,0.004888102,0.1422587,0.1990067,0.5629048],"study_design_scores_gemma":[0.0001024909,0.000398114,0.007621021,0.07118727,0.0004147875,0.0008396569,0.06352817,0.001625788,0.003075134,0.09852079,0.7523835,0.0003032304],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02294761,0.09063928,0.1233493,0.6424568,0.02663244,0.001708275,0.0007378159,0.001006028,0.0905224],"genre_scores_gemma":[0.3364497,0.13751,0.3075244,0.1855773,0.003474442,0.004093169,0.002901541,0.001270041,0.0211994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8097442,"threshold_uncertainty_score":0.9985588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04586452344801925,"score_gpt":0.2635487086681335,"score_spread":0.2176841852201143,"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."}}