{"id":"W4412774881","doi":"10.3389/feduc.2025.1642042","title":"From bench to bedside: a call to expand physician pathways for PhDs","year":2025,"lang":"en","type":"article","venue":"Frontiers in Education","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Texas at San Antonio","keywords":"Bench to bedside; Computer science; Medical education; Medicine; Medical physics","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":[],"consensus_categories":[],"category_scores_codex":[0.04597953,0.0007159635,0.0009261965,0.001620024,0.004503668,0.01221592,0.003252694,0.01458655,0.04764582],"category_scores_gemma":[0.05667581,0.000922697,0.002429063,0.00141318,0.00453866,0.0200306,0.01575567,0.02715121,0.01413521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005011314,"about_ca_system_score_gemma":0.05716031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003019488,"about_ca_topic_score_gemma":0.009265864,"domain_scores_codex":[0.9801184,0.008512427,0.001301525,0.00154711,0.005092959,0.003427625],"domain_scores_gemma":[0.8515738,0.04332185,0.005563782,0.004080002,0.02295108,0.07250964],"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":[0.0001807582,0.000451859,0.001857357,0.002647934,0.00004105351,0.0007407576,0.001920063,0.0003543332,0.001093485,0.02844509,0.63973,0.3225374],"study_design_scores_gemma":[0.0001448582,0.0002122696,0.001941234,0.001911687,0.00001911485,0.0004977917,0.002091475,0.0001097533,0.0002854235,0.01124073,0.9815067,0.00003899252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001137417,0.02182462,0.0023434,0.9564679,0.00949158,0.00008941945,0.000084158,0.0002858049,0.008275648],"genre_scores_gemma":[0.03719372,0.1310312,0.03063061,0.7490615,0.02597784,0.0006066237,0.0005407879,0.0004263685,0.02453135],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04764582,"threshold_uncertainty_score":0.2431659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04801957408312652,"score_gpt":0.4238030412816335,"score_spread":0.375783467198507,"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."}}