{"id":"W2802450491","doi":"10.1016/s1470-2045(18)30287-0","title":"Body-mass index and metastatic melanoma outcomes","year":2018,"lang":"en","type":"letter","venue":"The Lancet Oncology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Medicine; Melanoma; Body mass index; Incidence (geometry); Oncology; Internal medicine; Population; Obesity; Cancer research; Environmental health","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":[0.002267492,0.0003694392,0.000928104,0.0006737123,0.001614143,0.001728165,0.0008699541,0.01690081,0.01000803],"category_scores_gemma":[0.02836035,0.0004140277,0.0007269297,0.0007701101,0.0009771009,0.001656493,0.001062153,0.01491207,0.004057391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002204088,"about_ca_system_score_gemma":0.002781995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007912586,"about_ca_topic_score_gemma":0.01575289,"domain_scores_codex":[0.9982992,0.0006196058,0.0001995442,0.0001648342,0.0004816654,0.0002351595],"domain_scores_gemma":[0.9914886,0.004979879,0.0007601139,0.0002633169,0.001255574,0.001252551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000176515,0.00004925593,0.007390005,0.00005964148,0.00003139314,0.0006236419,0.00006593172,0.00006144533,0.00005041737,0.001364938,0.9709839,0.01914285],"study_design_scores_gemma":[0.0009757902,0.0002341614,0.02551289,0.001301221,0.0002595099,0.002763381,0.0008552836,0.001495409,0.0003330422,0.02250233,0.9436567,0.0001102476],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001464382,0.002537623,0.00003844076,0.9763985,0.01457843,0.000007199671,0.0002995136,0.00001506576,0.004660833],"genre_scores_gemma":[0.03771624,0.005280187,0.0002070919,0.8047372,0.138136,0.00008853593,0.0004951929,0.00003324685,0.01330636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01690081,"threshold_uncertainty_score":0.03348023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05080202648312223,"score_gpt":0.3475610063345605,"score_spread":0.2967589798514383,"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."}}