{"id":"W2879023622","doi":"10.1055/s-0038-1637527","title":"LEARNING ERCP WITH THE BOŠKOSKI-COSTAMAGNA MECHANICAL SIMULATOR: A SINGLE TRAINEE'S EXPERIENCE","year":2018,"lang":"en","type":"article","venue":"Endoscopy","topic":"Mechanics and Biomechanics Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke","funders":"","keywords":"Learning curve; Medicine; Competence (human resources); Simulation; Medical education; Medical physics; Computer science; Operating system; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001660149,0.0002281069,0.0001996324,0.00005090947,0.0003048436,0.00007377191,0.0002767858,0.00007143455,0.0001740358],"category_scores_gemma":[0.00004203357,0.0001468581,0.00005224663,0.0003043878,0.00007731762,0.00009014318,0.00007854057,0.0002561703,0.00008388292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005063558,"about_ca_system_score_gemma":0.0000121113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008231613,"about_ca_topic_score_gemma":0.00003845102,"domain_scores_codex":[0.9988436,0.0000326745,0.0001655328,0.0002561407,0.0002677322,0.0004343752],"domain_scores_gemma":[0.9994226,0.0000914488,0.00003456458,0.0002957665,0.00006485101,0.00009081418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001689104,0.0001528123,0.00008331472,0.00007577021,0.0002899104,0.00004522352,0.01581063,0.001809308,0.9440942,0.016661,0.004702086,0.0161068],"study_design_scores_gemma":[0.001424739,0.002434901,0.00003207778,0.0001190693,0.00006934723,0.00001942529,0.00597287,0.1972484,0.6486052,0.00124289,0.1419209,0.0009102182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9482142,0.0004268409,0.04444051,0.0003631064,0.0007216985,0.0003670959,0.00000873979,0.0007496009,0.004708252],"genre_scores_gemma":[0.9974527,0.00004615187,0.00179661,0.0001373825,0.0002612477,0.00004192524,0.000002692127,0.00005083375,0.0002104567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2954891,"threshold_uncertainty_score":0.5988699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276038197732862,"score_gpt":0.2228343397736408,"score_spread":0.2100739577963122,"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."}}