{"id":"W2897194445","doi":"10.2217/fon-2018-0671","title":"Stage III Melanoma Incidence and Impact of Transitioning to the 8th AJCC Staging System: A US Population-Based Study","year":2018,"lang":"en","type":"article","venue":"Future Oncology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis","funders":"Novartis Pharmaceuticals Corporation","keywords":"Medicine; Melanoma; Stage (stratigraphy); Incidence (geometry); Cancer registry; Population; AJCC staging system; Cancer; Oncology; Internal medicine; Cancer stage; Staging system; 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":[0.0004319481,0.0001772937,0.0001301152,0.0004509814,0.0002036575,0.0003797618,0.0002288708,0.0003183517,0.001364591],"category_scores_gemma":[0.001504329,0.0001667639,0.0003642422,0.0006474698,0.0001716411,0.0003339269,0.0002797041,0.0004740185,0.0002509687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002771301,"about_ca_system_score_gemma":0.0002445907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00713404,"about_ca_topic_score_gemma":0.009731393,"domain_scores_codex":[0.9996752,0.00009255865,0.00003004152,0.00008191011,0.00006742602,0.00005293889],"domain_scores_gemma":[0.9992296,0.00008008424,0.0003978619,0.00006335741,0.0001008855,0.0001282299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005780633,0.00001929823,0.9989937,0.000002869712,0.00002432555,0.00001900814,0.00001389521,0.00003065233,0.00005732821,0.000007737131,0.0001089946,0.0006644268],"study_design_scores_gemma":[0.000003765296,0.00004534096,0.9995396,0.000002848523,0.00001461449,0.0001080044,0.00004376866,0.00008968072,0.0000200221,0.00001198213,0.0001190914,0.000001428755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983208,0.0002226776,0.000075456,0.00004933267,0.00000623917,0.000007509881,0.0006977381,0.000004380237,0.000615856],"genre_scores_gemma":[0.9992772,0.00007419773,0.0000418347,0.00002044797,0.000005673943,0.000004524369,0.0004776686,0.000001466707,0.00009702519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00713404,"threshold_uncertainty_score":0.01418507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108454591419537,"score_gpt":0.3095916972263755,"score_spread":0.2985071513121801,"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."}}