{"id":"W2889505026","doi":"10.1016/j.athoracsur.2018.06.078","title":"Clinical Outcomes After Pulmonary Metastasectomy for Melanoma: A Population-Based Study","year":2018,"lang":"en","type":"article","venue":"The Annals of Thoracic Surgery","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; Institute for Clinical Evaluative Sciences","funders":"","keywords":"Medicine; Hazard ratio; Metastasectomy; Cancer registry; Confidence interval; Population; Proportional hazards model; Melanoma; Surgery; Lung cancer; Lesion; Cancer; Internal medicine; Metastasis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006323954,0.0004286491,0.00073433,0.001065375,0.0007209019,0.001137904,0.0005535012,0.001107235,0.00147982],"category_scores_gemma":[0.002541529,0.000512006,0.001290989,0.001874996,0.0006215409,0.001532759,0.0008484057,0.001126369,0.0003084451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005932585,"about_ca_system_score_gemma":0.0004163466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003649839,"about_ca_topic_score_gemma":0.00456805,"domain_scores_codex":[0.9991277,0.0001894903,0.000104961,0.0002710168,0.0001297862,0.0001770985],"domain_scores_gemma":[0.9983566,0.0002529119,0.0006932538,0.0001325403,0.0001758669,0.0003886848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002137586,0.000109803,0.998594,0.000009947286,0.0001600551,0.0001297438,0.00006141998,0.00002544053,0.0001308609,0.00001202789,0.000066598,0.000486408],"study_design_scores_gemma":[0.00002186771,0.0002194412,0.9988402,0.000005208229,0.00008866718,0.0002960399,0.000301633,0.00008865069,0.00001945565,0.00003144036,0.00007931666,0.000008173838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992318,0.0002064366,0.00005166927,0.00003795883,0.00000692268,0.000008739369,0.0002216332,0.000001858027,0.0002330442],"genre_scores_gemma":[0.9993902,0.0001076807,0.00002240689,0.00003539935,0.0000170775,0.000009818332,0.0003368358,0.000001771073,0.00007891303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003649839,"threshold_uncertainty_score":0.007257164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1382274212772029,"score_gpt":0.4349548983599517,"score_spread":0.2967274770827487,"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."}}