{"id":"W2029357087","doi":"10.1007/s10459-006-0003-6","title":"Modeling the Problem-based Learning Preferences of McMaster University Undergraduate Medical Students Using a Discrete Choice Conjoint Experiment","year":2006,"lang":"en","type":"article","venue":"Advances in Health Sciences Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Hamilton Health Sciences","funders":"McMaster University","keywords":"Curriculum; Problem-based learning; Computer science; Medical education; Class (philosophy); Process (computing); Mathematics education; Psychology; Medicine; Artificial intelligence; Pedagogy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.009478373,0.0007663589,0.001027453,0.0005065483,0.0007478765,0.003079983,0.001592587,0.002254243,0.006507018],"category_scores_gemma":[0.02641579,0.0006428071,0.0008936333,0.0008799981,0.0011232,0.001197743,0.0009678745,0.002400697,0.0004555354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0028777,"about_ca_system_score_gemma":0.002224053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0202134,"about_ca_topic_score_gemma":0.02333322,"domain_scores_codex":[0.9950087,0.003771584,0.0001450324,0.000318729,0.0002784052,0.0004775786],"domain_scores_gemma":[0.9612951,0.03395698,0.001427587,0.00125668,0.0007472474,0.001316332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.03331832,0.02999185,0.1015474,0.0005471709,0.001339826,0.0004763515,0.004038575,0.730975,0.007820154,0.02609807,0.00206129,0.061786],"study_design_scores_gemma":[0.001893888,0.004993748,0.019981,0.00002611445,0.0002551154,0.00003167657,0.001127251,0.9602487,0.001926907,0.008726486,0.0006383766,0.0001507593],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910482,0.00004260526,0.007207305,0.0002602234,0.00001816457,0.0002643853,0.0001749238,0.00001364502,0.0009705419],"genre_scores_gemma":[0.9915218,0.00004400387,0.006744877,0.00008305469,0.00000719018,0.0002735727,0.0001122855,0.000002565308,0.001210579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0202134,"threshold_uncertainty_score":0.05012703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03275364135287516,"score_gpt":0.4113282528292071,"score_spread":0.3785746114763319,"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."}}