{"id":"W4405265723","doi":"10.1080/0142159x.2024.2436449","title":"Preparing future healthcare professionals for evidence-based decision-making using health technology assessment as an experiential learning tool","year":2024,"lang":"en","type":"article","venue":"Medical Teacher","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Experiential learning; Health care; Medical education; Graduation (instrument); Psychology; Knowledge management; Health professionals; Critical appraisal; Medicine; Computer science; Pedagogy; Engineering; Political science; Alternative medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.02063772,0.000815195,0.0004814898,0.001192205,0.002000182,0.006642399,0.002017911,0.00276652,0.009520223],"category_scores_gemma":[0.03522148,0.0005922706,0.0007516043,0.0005202529,0.002501828,0.004687537,0.008482704,0.00559965,0.003827166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001378353,"about_ca_system_score_gemma":0.00787008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002234645,"about_ca_topic_score_gemma":0.00070264,"domain_scores_codex":[0.9913477,0.005658643,0.0004097618,0.000434904,0.001343038,0.0008059252],"domain_scores_gemma":[0.974485,0.01272976,0.001568263,0.001763182,0.002544793,0.006909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002916311,0.01017519,0.01967612,0.001745996,0.0001256855,0.002638816,0.1047704,0.006594037,0.01667127,0.04434925,0.08527098,0.7076907],"study_design_scores_gemma":[0.0004521238,0.003897075,0.01623071,0.004401912,0.0001074355,0.006910119,0.1084172,0.0158539,0.01704746,0.2808984,0.5453774,0.0004061738],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4280902,0.002277736,0.3628716,0.09104268,0.001909274,0.005576456,0.0003784104,0.001500489,0.1063533],"genre_scores_gemma":[0.4209832,0.002683487,0.547729,0.008862823,0.0005425015,0.002682279,0.0002736013,0.00009730552,0.01614577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02063772,"threshold_uncertainty_score":0.109144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3180606254240932,"score_gpt":0.5588963041242969,"score_spread":0.2408356787002037,"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."}}