{"id":"W6885882070","doi":"10.1371/journal.pone.0297893.s002","title":"S2 File -","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Likert scale; Male gender; Subgroup analysis; Survey research; Survey instrument","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003120743,0.001254504,0.001825771,0.003103526,0.002147842,0.003577651,0.003048074,0.002061723,0.9517845],"category_scores_gemma":[0.03184509,0.001060736,0.0008774302,0.00525174,0.0005845652,0.003756773,0.002674169,0.001758575,0.6517358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001983758,"about_ca_system_score_gemma":0.004824272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0188022,"about_ca_topic_score_gemma":0.0180396,"domain_scores_codex":[0.9987538,0.0001894394,0.0001528968,0.000294477,0.0003553234,0.0002541518],"domain_scores_gemma":[0.9836135,0.008455794,0.0006824459,0.001305112,0.004753747,0.001189412],"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":[0.00008241719,0.00002523945,0.0002571121,0.0004587,0.000004411582,0.00002187071,0.00004418843,0.0000527774,0.00003121871,0.0004551979,0.9935689,0.00499791],"study_design_scores_gemma":[0.0008125787,0.00007944259,0.003145802,0.001223774,0.00001923043,0.0001134664,0.0006790372,0.0004868603,0.0003039659,0.00409874,0.9889791,0.00005792379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0001937712,0.00003794249,0.0004185842,0.0006144498,0.000291642,0.0003419709,0.9806309,0.001682965,0.01578771],"genre_scores_gemma":[0.005909096,0.0003544444,0.006712975,0.003085538,0.0003054592,0.004698044,0.8640091,0.004801808,0.1101235],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04821551,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06527063171904171,"score_gpt":0.3243784192518183,"score_spread":0.2591077875327766,"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."}}