{"id":"W2342158619","doi":"10.1016/j.bpg.2016.04.003","title":"Learning curve for endoscopy training: Is it all about numbers?","year":2016,"lang":"en","type":"review","venue":"Best Practice & Research Clinical Gastroenterology","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Endoscopy; Competence (human resources); Medicine; Learning curve; Medical education; Medical physics; Radiology; Psychology; Computer science","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":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01642156,0.0006584124,0.003671349,0.0004861378,0.0002959525,0.0001333343,0.0006384563,0.00125707,0.002441096],"category_scores_gemma":[0.0620266,0.0004791616,0.001830603,0.0003555106,0.0009702591,0.0003115459,0.0003965347,0.005854491,0.002018395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002393268,"about_ca_system_score_gemma":0.001083203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002864886,"about_ca_topic_score_gemma":0.00001654821,"domain_scores_codex":[0.9853225,0.006851234,0.002762586,0.001674077,0.001235031,0.002154625],"domain_scores_gemma":[0.9510565,0.04444784,0.001194746,0.000862869,0.001212118,0.001225913],"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":[0.004339047,0.001220117,0.0007658043,0.002142679,0.001576233,0.0003538696,0.0002945504,3.036952e-7,1.698499e-7,0.0001423325,0.006779409,0.9823855],"study_design_scores_gemma":[0.007558562,0.01118217,0.00001566562,0.007522045,0.001308036,0.0004621856,0.0005742403,0.0000410985,6.83252e-8,0.00003890427,0.9710709,0.0002260927],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002854356,0.9363539,0.001097764,0.02270859,0.001602549,0.00581547,0.0001520486,0.0002111227,0.03177316],"genre_scores_gemma":[0.0004062263,0.9829461,0.002403197,0.004760513,0.002275273,0.0005968616,0.0002402814,0.0001860213,0.006185541],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9821594,"threshold_uncertainty_score":0.999766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4992829747802504,"score_gpt":0.6109394874877903,"score_spread":0.1116565127075398,"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."}}