{"id":"W3115387006","doi":"10.7759/cureus.12180","title":"Development and Evaluation of a 3D-Printed Adult Proximal Tibia Model for Simulation Training in Intraosseous Access","year":2020,"lang":"en","type":"article","venue":"Cureus","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ontario Institute of Technology; Memorial University of Newfoundland","funders":"","keywords":"Medicine; Simulation training; Training (meteorology); 3d printed; Tibia; 3d model; Anatomy; Orthodontics; Biomedical engineering; Simulation; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002558555,0.00005759386,0.0001380695,0.00003552893,0.00001931297,0.000008575984,0.00002458847,0.00004635005,0.00000354462],"category_scores_gemma":[0.0004697643,0.00005251203,0.00002011691,0.00008854764,0.00001450313,0.00008519974,0.00001638639,0.00004631836,3.450619e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005661074,"about_ca_system_score_gemma":0.0002289559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004705115,"about_ca_topic_score_gemma":0.00005165708,"domain_scores_codex":[0.9993706,0.00001649474,0.0002002812,0.0001337948,0.0001995824,0.00007927493],"domain_scores_gemma":[0.9995539,0.00003847944,0.00005930934,0.00004576426,0.0002584408,0.00004407901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001638272,0.0001206234,0.01533635,0.0007820438,0.0001273655,0.000003053528,0.1125601,0.4772188,0.01822494,0.0003319733,0.00004278757,0.3736137],"study_design_scores_gemma":[0.001864423,0.00003135009,0.02248624,0.00007983486,0.00006684995,3.540163e-7,0.0005233607,0.9731452,0.001566302,0.0001501303,0.00003130966,0.00005466977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797146,0.00006311182,0.01882938,0.0002654928,0.00006409762,0.000831146,0.000002462391,0.00001463587,0.0002150399],"genre_scores_gemma":[0.9922003,0.000004210076,0.007557383,0.00007238959,0.00006698116,0.00005113276,0.00003696281,0.000007987323,0.000002639537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4959264,"threshold_uncertainty_score":0.2141379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.132271310100185,"score_gpt":0.3885915845325046,"score_spread":0.2563202744323196,"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."}}