{"id":"W1784436360","doi":"10.1177/1553350615604054","title":"Description and Preliminary Evaluation of a Low-Cost Simulator for Training and Evaluation of Flexible Endoscopic Skills","year":2015,"lang":"en","type":"article","venue":"Surgical Innovation","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; McGill University; University of Toronto","funders":"","keywords":"Medicine; Interquartile range; Medical physics; Endoscope; Endoscopy; Physical therapy; Test (biology); Surgery; Simulation; 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":[],"consensus_categories":[],"category_scores_codex":[0.004403901,0.0001036779,0.0002788199,0.0002599493,0.00003581585,0.00001159582,0.00001996467,0.0001143488,0.00006969372],"category_scores_gemma":[0.001470552,0.0000934211,0.000031318,0.000565749,0.0000800511,0.0001915623,0.00001461867,0.00007166217,6.16279e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008000997,"about_ca_system_score_gemma":0.000226791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005957395,"about_ca_topic_score_gemma":7.313504e-7,"domain_scores_codex":[0.9981637,0.0001395925,0.0005463825,0.0002112941,0.0008115684,0.0001274764],"domain_scores_gemma":[0.9967678,0.0002836836,0.0002460475,0.0001076146,0.002521852,0.0000729964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001679919,0.0005702591,0.02717414,0.0002945127,0.0001190459,0.000001530028,0.003997968,0.009421849,0.001945346,0.01297483,0.00002968869,0.9417909],"study_design_scores_gemma":[0.0408618,0.001247092,0.1533799,0.0005182228,0.0006589104,0.00001876731,0.00167511,0.7865511,0.005910524,0.008172719,0.0008056089,0.0002002942],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950393,0.0002724099,0.001533453,0.00008707066,0.0001255672,0.001422534,0.000007992452,0.00002365811,0.00148796],"genre_scores_gemma":[0.9989758,0.00000424613,0.0005859545,0.00003037395,0.00007480431,0.0001010017,0.0001768278,0.00001175895,0.00003927758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9415906,"threshold_uncertainty_score":0.3809602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2566246694347536,"score_gpt":0.4234734435471602,"score_spread":0.1668487741124066,"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."}}