{"id":"W3027527109","doi":"10.1245/s10434-020-08552-0","title":"ASO Author Reflections: The Trilogy of Cancer, Inflammation, and Survival","year":2020,"lang":"en","type":"article","venue":"Annals of Surgical Oncology","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal General Hospital; McGill University","funders":"","keywords":"Surgical oncology; Trilogy; Medicine; Oncology; General surgery; Cancer; Internal medicine; Art history; History","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":[0.00847157,0.0008861189,0.001490487,0.001524547,0.002248792,0.007005388,0.001821604,0.01070374,0.007839924],"category_scores_gemma":[0.03837153,0.0005355456,0.001117898,0.001572279,0.002953837,0.005102586,0.002224984,0.03357135,0.004454121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002428198,"about_ca_system_score_gemma":0.009198539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006267081,"about_ca_topic_score_gemma":0.01337827,"domain_scores_codex":[0.9956627,0.001387056,0.0004685585,0.0006112382,0.001466809,0.0004035321],"domain_scores_gemma":[0.9539016,0.0241356,0.001929416,0.001017854,0.01401102,0.005004508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005659261,0.00002868305,0.0006035158,0.00008458619,0.00001888585,0.00004588029,0.0001075396,0.00002695286,0.00003198724,0.001614467,0.9880174,0.009363503],"study_design_scores_gemma":[0.0001561928,0.00008596913,0.001952043,0.0009968072,0.0001095788,0.0003023538,0.001195123,0.0002464745,0.0002308916,0.009443541,0.9851929,0.00008815316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001899197,0.008402024,0.00008350775,0.7995824,0.1905404,0.000003938126,0.0000725099,0.00001215491,0.001112958],"genre_scores_gemma":[0.00558865,0.02215259,0.000323214,0.4667447,0.4960113,0.00002775975,0.00007740985,0.00003692502,0.009037447],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01070374,"threshold_uncertainty_score":0.04480243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1478858204360054,"score_gpt":0.442070231779454,"score_spread":0.2941844113434486,"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."}}