{"id":"W4388632014","doi":"10.1177/15533506231211049","title":"Teaching Chest Tube Insertion by Blended Learning: A Multi-Dimensional Analysis","year":2023,"lang":"en","type":"article","venue":"Surgical Innovation","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Royal College of Physicians and Surgeons of Canada; McGill University","funders":"McGill University","keywords":"Usability; Cognitive load; Blended learning; Reading (process); System usability scale; Medicine; Cognition; Learning effect; Educational technology; Multimedia; Computer science; Human–computer interaction; Psychology; Web usability; Mathematics education","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009110774,0.0001341775,0.0002852285,0.0006843934,0.0001933158,0.00002691722,0.00003727753,0.0001400188,0.0008219782],"category_scores_gemma":[0.000420452,0.0001158233,0.0001244636,0.004724594,0.00003817278,0.0001117917,0.00003048926,0.0004671985,0.0001729591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005997796,"about_ca_system_score_gemma":0.00004085905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004475524,"about_ca_topic_score_gemma":0.00000260141,"domain_scores_codex":[0.9984556,0.0001126433,0.0004566073,0.0003066622,0.0004272007,0.0002413263],"domain_scores_gemma":[0.9992386,0.0002366266,0.0001109949,0.0001199869,0.0002086867,0.00008515068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002062718,0.001981931,0.5089493,0.0001733531,0.002724872,0.000623767,0.001287326,0.03170239,0.04689969,0.03121293,0.00274017,0.3696415],"study_design_scores_gemma":[0.008110548,0.0001717708,0.3192397,0.0000498329,0.0003246725,0.00001888274,0.0002233067,0.4817167,0.001088304,0.0001828933,0.1885222,0.0003512902],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927785,0.00001504632,0.000828278,0.001744157,0.00007574847,0.0001412406,0.000003619296,0.000463686,0.003949673],"genre_scores_gemma":[0.9923039,0.000003351574,0.0002745608,0.0003165195,0.00009276431,0.00001411114,0.001970621,0.00001730607,0.005006875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4500143,"threshold_uncertainty_score":0.9000085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05439083110747735,"score_gpt":0.3470460385422701,"score_spread":0.2926552074347927,"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."}}