{"id":"W2466332642","doi":"10.7718/iamure.v3i1.85","title":"Curriculum Model for Medical Technology: Lessons from International Benchmarking","year":2012,"lang":"en","type":"article","venue":"IAMURE International Journal of Multidisciplinary Research","topic":"Competency Development and Evaluation","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Curriculum; Process (computing); Medical education; Engineering management; Quality assurance; Quality (philosophy); Curriculum development; Business; Political science; Knowledge management; Medicine; Computer science; Engineering; Pedagogy; Sociology; Marketing","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":[0.0116132,0.0004417891,0.0003844522,0.001679563,0.00204799,0.006591342,0.001783417,0.001111664,0.00512751],"category_scores_gemma":[0.01556964,0.0002278262,0.0005749317,0.002989968,0.003002306,0.004897252,0.003160872,0.002850025,0.0009426371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01016675,"about_ca_system_score_gemma":0.008798533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006787675,"about_ca_topic_score_gemma":0.006632006,"domain_scores_codex":[0.9897082,0.006934095,0.0004423486,0.0003441026,0.002021579,0.0005497374],"domain_scores_gemma":[0.9934745,0.0027671,0.000438146,0.0009118055,0.001680934,0.000727504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006546435,0.0005178339,0.00768358,0.0004002189,0.0000263325,0.000141942,0.007430885,0.008516343,0.0005787623,0.7051987,0.0131748,0.2562652],"study_design_scores_gemma":[0.0001862914,0.001231915,0.03628482,0.002389282,0.00007700676,0.0007066129,0.02383578,0.05709051,0.003543635,0.4869389,0.3875571,0.0001582142],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1275876,0.0044595,0.3488343,0.05762698,0.001123987,0.00171306,0.0002568365,0.00105396,0.4573438],"genre_scores_gemma":[0.7522233,0.002412049,0.2186757,0.002081483,0.0001542318,0.001498573,0.000353889,0.0003290048,0.02227187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0116132,"threshold_uncertainty_score":0.07376528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1542972481968786,"score_gpt":0.5239520156259243,"score_spread":0.3696547674290457,"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."}}