{"id":"W2143151238","doi":"10.1002/ca.1037","title":"Dissection: A positive experience","year":2001,"lang":"en","type":"article","venue":"Clinical Anatomy","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Workload; Dissection (medical); Stress (linguistics); Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001433828,0.0003548064,0.0002550621,0.0006320429,0.003098991,0.002144423,0.0003664611,0.0008743106,0.008314952],"category_scores_gemma":[0.005881453,0.0002298012,0.0003312338,0.0003272372,0.002479562,0.001202903,0.003877262,0.001360166,0.0011205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005975048,"about_ca_system_score_gemma":0.001095788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005568147,"about_ca_topic_score_gemma":0.002454671,"domain_scores_codex":[0.9987143,0.0004230389,0.00004802048,0.00007731505,0.0004184837,0.0003188804],"domain_scores_gemma":[0.9964448,0.0006681113,0.0005080674,0.0001304364,0.0002866613,0.001962026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005575125,0.0006703702,0.2867103,0.001237806,0.0001788167,0.03038939,0.2567366,0.0004600314,0.02553237,0.009873351,0.1027807,0.2848727],"study_design_scores_gemma":[0.00004961395,0.001791066,0.2091461,0.0009504771,0.0000919252,0.1395471,0.3049929,0.0003308739,0.001784747,0.003309357,0.3377917,0.0002143254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9088166,0.003327911,0.001129185,0.006568456,0.001391245,0.00005590092,0.00008984117,0.0001387081,0.07848214],"genre_scores_gemma":[0.9849432,0.001496904,0.0004577818,0.001972998,0.0002881621,0.00001909122,0.00003950639,0.00002016593,0.01076237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008314952,"threshold_uncertainty_score":0.02781624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08364513647590506,"score_gpt":0.4630177433269007,"score_spread":0.3793726068509956,"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."}}