{"id":"W2107948499","doi":"","title":"Visual-spatial ability, learning modality and surgical knot tying.","year":2006,"lang":"en","type":"article","venue":"PubMed","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Knot tying; Medicine; Tying; Test (biology); Artificial intelligence; Surgery; Computer science","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":[0.0003502007,0.0002603996,0.000125198,0.0003260184,0.0001423986,0.000297867,0.0002569662,0.000276713,0.01116768],"category_scores_gemma":[0.002702103,0.00006955506,0.0001248388,0.0001648235,0.000553906,0.0002681656,0.0002813704,0.0002251652,0.0004395152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005537674,"about_ca_system_score_gemma":0.0008869062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0131817,"about_ca_topic_score_gemma":0.01417123,"domain_scores_codex":[0.9998093,0.00002583156,0.00001068593,0.00003049792,0.0000903515,0.00003324787],"domain_scores_gemma":[0.998485,0.0004517554,0.0005085844,0.00004880513,0.0001060462,0.0003997224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001839421,0.002440356,0.9498,0.0001542517,0.00007937419,0.0002684882,0.0004185938,0.0004196294,0.005396904,0.000164297,0.0007621263,0.03825661],"study_design_scores_gemma":[0.0000239631,0.001010001,0.997683,0.00001464192,0.00001303771,0.0001464923,0.00006915731,0.0002265089,0.0003033054,0.00009073131,0.0004156941,0.000003465283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977953,0.0002358739,0.00009166609,0.00007713032,0.000005284198,0.00002163141,0.0001030133,0.000008409585,0.001661624],"genre_scores_gemma":[0.9985574,0.00007867233,0.0000869401,0.00001338225,0.000004541996,0.00001409335,0.00007279367,8.973307e-7,0.001171358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0131817,"threshold_uncertainty_score":0.0373596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02693596480820582,"score_gpt":0.2838862260993473,"score_spread":0.2569502612911415,"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."}}