{"id":"W2033253137","doi":"10.6000/1929-6029.2015.04.01.7","title":"An Exponential Melanoma Trend Model","year":2015,"lang":"en","type":"article","venue":"International Journal of Statistics in Medical Research","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Melanoma; Population; Exponential function; Demography; Exponential growth; Lung cancer; Statistics; Mathematics; Medicine; Oncology; 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":[0.002124038,0.0009821104,0.0009770483,0.001716914,0.0003993368,0.001479798,0.002288634,0.001664097,0.009763801],"category_scores_gemma":[0.007777099,0.000532761,0.001526007,0.001677678,0.0005226459,0.002349258,0.0007328267,0.001482254,0.003293155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075234,"about_ca_system_score_gemma":0.0009437968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01403116,"about_ca_topic_score_gemma":0.008218446,"domain_scores_codex":[0.999318,0.0001659108,0.00004402799,0.0002300842,0.00009488187,0.0001471294],"domain_scores_gemma":[0.9978537,0.00101963,0.0003551457,0.0001453273,0.0005424033,0.00008368365],"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":[0.0004530438,0.000242098,0.05442975,0.0004796532,0.0003651977,0.001385468,0.0007014062,0.7535487,0.00431247,0.1126047,0.01144484,0.06003267],"study_design_scores_gemma":[0.0000603606,0.0001572098,0.006940288,0.00006818443,0.0001525607,0.0006669326,0.0001880223,0.9545141,0.0004317068,0.02820805,0.008567309,0.00004531522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4173184,0.002807935,0.5291553,0.003373728,0.0006810374,0.0004179348,0.009974374,0.001585794,0.03468545],"genre_scores_gemma":[0.9414527,0.001865603,0.01504829,0.0003104816,0.0001943182,0.0003244257,0.003286984,0.0001954254,0.03732178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01403116,"threshold_uncertainty_score":0.03266317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1814289826305776,"score_gpt":0.5337042625947664,"score_spread":0.3522752799641888,"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."}}