{"id":"W4210681957","doi":"10.2196/preprints.12626","title":"Increasing Access to Medical Training With Three-Dimensional Printing: Creation of an Endotracheal Intubation Model (Preprint)","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Airway Management and Intubation Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Ottawa","funders":"","keywords":"Preprint; Endotracheal intubation; Computer science; Workflow; Best practice; Intubation; Medicine; World Wide Web; Surgery; Database","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004196979,0.0003337592,0.0002278075,0.0005031067,0.0002263748,0.0006589976,0.0004237838,0.0006064501,0.01890599],"category_scores_gemma":[0.001048527,0.0002305837,0.0007755214,0.0002898277,0.0001979302,0.0004612672,0.0006408677,0.0004512723,0.00483281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002346395,"about_ca_system_score_gemma":0.000452571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004436052,"about_ca_topic_score_gemma":0.0005792088,"domain_scores_codex":[0.9996432,0.0000379329,0.00002393841,0.00003792495,0.0002322695,0.00002473294],"domain_scores_gemma":[0.9995475,0.0001405359,0.00004191891,0.0000726502,0.0001538078,0.00004350695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006400854,0.0003712049,0.004574264,0.00223268,0.00007093872,0.001688278,0.0007845228,0.04133347,0.608129,0.007990556,0.06090868,0.2712763],"study_design_scores_gemma":[0.000150156,0.001304539,0.0114123,0.0003448048,0.0001828791,0.002245814,0.0002781019,0.09066988,0.570468,0.002134924,0.3205892,0.0002193597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4066164,0.003446056,0.4622742,0.002337977,0.00691232,0.0007806502,0.009018498,0.01255243,0.09606154],"genre_scores_gemma":[0.5689747,0.003612488,0.3437016,0.000596858,0.0004299922,0.0006991593,0.007055803,0.002972653,0.07195667],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01890599,"threshold_uncertainty_score":0.06324685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06803266550496283,"score_gpt":0.3603038595433444,"score_spread":0.2922711940383815,"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."}}