{"id":"W1217723723","doi":"","title":"Getting started with robotics in general surgery with cholecystectomy: the Canadian experience.","year":2009,"lang":"en","type":"article","venue":"PubMed","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Medicine; Robotic surgery; Robotics; Cholecystectomy; General surgery; Learning curve; Surgery; Laparoscopic cholecystectomy; Laparoscopy; Robotic arm; Artificial intelligence; Robot; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002495823,0.00008984488,0.0001699394,0.0001126962,0.0000978136,0.00003711693,0.00004151385,0.00003942303,0.00001899758],"category_scores_gemma":[0.00007514889,0.00004971504,0.00002292248,0.0004198495,0.00005084111,0.00005390734,0.000002794425,0.000162344,0.000001385043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001208478,"about_ca_system_score_gemma":0.0001519092,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006579135,"about_ca_topic_score_gemma":0.0581023,"domain_scores_codex":[0.9990614,0.00003046236,0.0001442292,0.0001463253,0.0002065712,0.0004110257],"domain_scores_gemma":[0.9994434,0.00008741183,0.00003646933,0.000140536,0.00004297231,0.0002492697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003967925,0.0000632499,0.7896194,0.000007895465,0.00003799004,0.0005801988,0.001795442,0.007717357,0.000003105639,0.0004265301,0.0000558037,0.1992962],"study_design_scores_gemma":[0.001833686,0.00002260245,0.9940717,0.00002223539,0.00001067381,0.00002935993,0.0001654537,0.001311066,0.00003063602,0.0000125423,0.002398905,0.0000911436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862607,0.00003649949,0.00002311627,0.005753761,0.00003334325,0.0004259829,4.987778e-7,0.00003797035,0.007428139],"genre_scores_gemma":[0.996655,0.000001117153,0.0001253885,0.002819153,0.00007954062,0.0001056904,0.000007420008,0.000009210014,0.0001974788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2044522,"threshold_uncertainty_score":0.9945728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03906656113359591,"score_gpt":0.2445115261058198,"score_spread":0.2054449649722239,"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."}}