{"id":"W2203696712","doi":"10.14423/smj.0000000000000288","title":"Back to Anatomy: Improving Landmarking Accuracy of Clinical Procedures Using a Novel Approach to Procedural Teaching","year":2015,"lang":"en","type":"article","venue":"Southern Medical Journal","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"McNemar's test; Medicine; Wilcoxon signed-rank test; Confidence interval; Test (biology); Surface anatomy; Intervention (counseling); Medical physics; Anatomy; Nursing; Internal medicine; Statistics; Mann–Whitney U test","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":[0.0007196303,0.0004215205,0.000212973,0.0004459516,0.0002612359,0.0004279632,0.0006385442,0.000454178,0.003085902],"category_scores_gemma":[0.003860508,0.0001756273,0.0002736841,0.0001612614,0.000458585,0.0005372615,0.0007489977,0.0005675193,0.0004711867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000274467,"about_ca_system_score_gemma":0.0008117008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000655458,"about_ca_topic_score_gemma":0.002097506,"domain_scores_codex":[0.999569,0.000132594,0.00002305837,0.00008835712,0.000139866,0.00004700463],"domain_scores_gemma":[0.9984888,0.0006648949,0.000449165,0.0001050974,0.0001316533,0.0001603571],"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":[0.001589727,0.01699357,0.03067803,0.001309137,0.00008687231,0.0005814402,0.004700317,0.002012619,0.07246869,0.000721601,0.003853212,0.8650048],"study_design_scores_gemma":[0.003863931,0.09681126,0.6053663,0.001756669,0.001171415,0.02031101,0.007183576,0.03127362,0.1700782,0.005166085,0.05663453,0.0003834587],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622829,0.0005779007,0.03142119,0.0008125202,0.0001060738,0.0004319866,0.00004760756,0.0004264652,0.003893391],"genre_scores_gemma":[0.8758815,0.0008403013,0.1199818,0.0004849443,0.000120245,0.0003866505,0.00006865469,0.00002958721,0.002206249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003085902,"threshold_uncertainty_score":0.01032341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05370382214010214,"score_gpt":0.3499820355530708,"score_spread":0.2962782134129687,"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."}}