{"id":"W4214557631","doi":"10.7759/cureus.22609","title":"Casting Into The Future: Effectiveness of a 3D-Printed Fishhook Removal Task Trainer","year":2022,"lang":"en","type":"article","venue":"Cureus","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; University of Ontario Institute of Technology","funders":"","keywords":"Medicine; Trainer; Task (project management); Casting; Orthodontics; Visual arts; Management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004264535,0.000994974,0.000458141,0.0006648397,0.0004112986,0.0007825681,0.000955031,0.001018341,0.006298572],"category_scores_gemma":[0.0192524,0.0003669792,0.0008663883,0.0001451664,0.0004222743,0.0009907485,0.001225282,0.0005901055,0.001608198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004435701,"about_ca_system_score_gemma":0.0008858011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00157503,"about_ca_topic_score_gemma":0.002096059,"domain_scores_codex":[0.9980863,0.0008738088,0.0001461058,0.0002745537,0.000440722,0.0001784656],"domain_scores_gemma":[0.9915537,0.004715843,0.000897292,0.000783993,0.0009139163,0.001135238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01103444,0.03063508,0.05069109,0.002058326,0.0002593505,0.0009825052,0.008891199,0.01622718,0.04972824,0.0003682185,0.005381292,0.823743],"study_design_scores_gemma":[0.004943423,0.2829097,0.3580088,0.002383848,0.002148769,0.003659252,0.01906076,0.1378074,0.1075401,0.001059538,0.07928524,0.001193172],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888892,0.0002376975,0.006227238,0.0002796256,0.0001125412,0.0005050397,0.0001030756,0.0004531133,0.003192425],"genre_scores_gemma":[0.9608163,0.0005724869,0.03110103,0.0002656944,0.00007597658,0.0005279134,0.0003185744,0.00008123339,0.00624095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006298572,"threshold_uncertainty_score":0.02255327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115053905889999,"score_gpt":0.2925129365265801,"score_spread":0.2713623974676801,"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."}}