{"id":"W2163168290","doi":"","title":"An Exponential Model for Melanoma Mortality Trends","year":2013,"lang":"en","type":"article","venue":"International Journal of Statistics in Medical Research","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demography; Incidence (geometry); Population; Mortality rate; Cancer; Melanoma; Exponential growth; Age groups; Medicine; Mathematics; Internal medicine; Cancer research","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003223998,0.001065072,0.0009731668,0.001612488,0.0004591284,0.001310374,0.002123621,0.00187673,0.009353447],"category_scores_gemma":[0.007433564,0.0005794079,0.001896519,0.001281339,0.0006256624,0.001725118,0.000897179,0.002073754,0.002725069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338825,"about_ca_system_score_gemma":0.001087914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02047543,"about_ca_topic_score_gemma":0.0106832,"domain_scores_codex":[0.9990759,0.0002947299,0.0000489272,0.0002414762,0.0001100825,0.000228913],"domain_scores_gemma":[0.9976204,0.001286167,0.0003511854,0.0001343346,0.0005288217,0.00007907427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003955333,0.0001971179,0.0293477,0.0002999588,0.0001921556,0.0006773124,0.0005593344,0.8771908,0.001869737,0.05458787,0.006296146,0.02838633],"study_design_scores_gemma":[0.0000576563,0.000160843,0.006607794,0.00006479585,0.00009293552,0.0002679443,0.0002000193,0.96793,0.0003120894,0.01688134,0.007372282,0.00005234123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3841755,0.003083437,0.5591899,0.004020348,0.0007020358,0.0006578803,0.01316381,0.001337199,0.03366985],"genre_scores_gemma":[0.913498,0.00214061,0.02525881,0.000378768,0.0002080398,0.0007997471,0.005699257,0.0001825302,0.05183416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02047543,"threshold_uncertainty_score":0.04071248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1032670314302597,"score_gpt":0.4794399971000713,"score_spread":0.3761729656698117,"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."}}