{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002901948,0.0002299447,0.00057351,0.0002301694,0.00007941481,0.00003977322,0.0006592643,0.0004094434,0.00007334797],"category_scores_gemma":[0.01109972,0.0001783036,0.0001482599,0.0003002924,0.000114971,0.0001170189,0.0001919413,0.001796379,0.00005280317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009700433,"about_ca_system_score_gemma":0.0007545527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003467172,"about_ca_topic_score_gemma":0.00001270357,"domain_scores_codex":[0.9971381,0.00008283686,0.001011117,0.0002707099,0.0009137835,0.0005834832],"domain_scores_gemma":[0.997727,0.0001528213,0.000171575,0.0002013679,0.0001301775,0.00161704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005874943,0.001185289,0.0169551,0.001273785,0.0007201871,0.0001587958,0.0265496,0.006103645,0.003720537,0.001895307,0.01084907,0.9300012],"study_design_scores_gemma":[0.01679421,0.001993598,0.001235939,0.006031024,0.0004542333,0.008923067,0.05822374,0.6756898,0.001167984,0.00299437,0.2230806,0.003411521],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7232597,0.0003060002,0.2714638,0.0007442235,0.0006360238,0.0002901683,0.000007478834,0.0001520687,0.003140534],"genre_scores_gemma":[0.9392117,0.00001307027,0.0587107,0.0008658784,0.001094522,0.000007045927,0.000001660271,0.00005477383,0.00004070053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9265897,"threshold_uncertainty_score":0.9972302,"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."}}