{"id":"W2738051914","doi":"10.1503/cjs.005316","title":"Robotic-assisted thoracoscopic surgery for lung resection: the first Canadian series","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Surgery","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Medicine; Thoracoscopy; Surgery; Series (stratigraphy); Resection; General surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008077183,0.0001654372,0.0005358888,0.0004323996,0.00150845,0.0002745038,0.0001793429,0.0001022622,0.0001918575],"category_scores_gemma":[0.0008952201,0.0001157055,0.0004201945,0.0001157986,0.0001761964,0.000288778,0.000006805291,0.000200824,0.000003898848],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001250889,"about_ca_system_score_gemma":0.009044952,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2210532,"about_ca_topic_score_gemma":0.9301624,"domain_scores_codex":[0.9986498,0.00003342629,0.0004539854,0.0001559294,0.0001819214,0.0005249877],"domain_scores_gemma":[0.9968959,0.000564492,0.0004044964,0.0005187023,0.0004218666,0.001194538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000725827,0.00001380584,0.6885009,0.0001164298,0.0002880171,0.0008715659,0.00008879393,0.00001252289,9.970727e-7,0.00006135293,0.3070577,0.002915367],"study_design_scores_gemma":[0.0002988646,0.00006716076,0.7962809,0.0009629447,0.0002800573,0.0008036901,0.0001033336,0.00001448393,0.0001221051,0.00004417958,0.2008971,0.0001251735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6152842,0.01053305,0.00005206801,0.3574685,0.01274029,0.0009392144,0.000126432,0.00001717044,0.002839126],"genre_scores_gemma":[0.9965288,0.0003657105,0.00007324014,0.001071382,0.001100803,0.00003644115,0.00001208261,0.00003228767,0.0007792239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7091092,"threshold_uncertainty_score":0.9997914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06426533000162232,"score_gpt":0.3039573105533204,"score_spread":0.2396919805516981,"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."}}