{"id":"W4410011001","doi":"10.1111/medu.15714","title":"Caffeinate a resident: Brewing career connections","year":2025,"lang":"en","type":"article","venue":"Medical Education","topic":"Management and Marketing Education","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Brewing; Medical education; Psychology; Medicine; Family medicine; Food science; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"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":[0.003481594,0.0005217477,0.0002394217,0.0006553034,0.005759509,0.002651195,0.00168358,0.001397182,0.04175227],"category_scores_gemma":[0.01303476,0.000315998,0.000475097,0.0003035844,0.001552991,0.002092983,0.01188955,0.002619276,0.01003867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118804,"about_ca_system_score_gemma":0.006218145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001737365,"about_ca_topic_score_gemma":0.01227103,"domain_scores_codex":[0.9974476,0.0009494252,0.00004709743,0.0001835892,0.0005054309,0.0008668689],"domain_scores_gemma":[0.9758778,0.0008183154,0.0007306389,0.0006385107,0.001293203,0.02064157],"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":[0.0002450704,0.001090991,0.01465666,0.0002811206,0.00002200532,0.001494282,0.01153223,0.0001843492,0.001918973,0.0031776,0.6312865,0.3341102],"study_design_scores_gemma":[0.0001080564,0.001888701,0.0370307,0.0005999579,0.00003034354,0.00424052,0.02667144,0.0008541018,0.001558372,0.004165777,0.9227324,0.0001197623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.5970157,0.003489361,0.02206516,0.137777,0.0137739,0.001699427,0.000757498,0.003368914,0.2200529],"genre_scores_gemma":[0.8096787,0.00198731,0.02230414,0.02635393,0.003524145,0.0009399635,0.0005466735,0.0006159771,0.1340491],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.04175227,"threshold_uncertainty_score":0.1396753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008793644452008146,"score_gpt":0.2657362855940664,"score_spread":0.2569426411420582,"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."}}