{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002971635,0.00006642379,0.0002048187,0.0005442347,0.00001702731,0.00004104038,0.0004250807,0.00009145076,0.0006125149],"category_scores_gemma":[0.003295342,0.0000518149,0.00003915053,0.0001361935,0.0001700969,0.0001115027,0.00006574953,0.0009265441,0.00001124198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003880196,"about_ca_system_score_gemma":0.001617392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002343256,"about_ca_topic_score_gemma":0.0003202058,"domain_scores_codex":[0.9943407,0.0001252822,0.0005063045,0.0001132813,0.004695745,0.0002186672],"domain_scores_gemma":[0.9974703,0.000301733,0.00009100073,0.0001042866,0.00127842,0.0007542563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009686965,0.003460688,0.05944153,0.00005675991,0.0004528576,0.02591349,0.005666566,0.002139224,0.001586324,0.04140804,0.1284354,0.7217522],"study_design_scores_gemma":[0.02360898,0.005928383,0.04314061,0.001107925,0.00006770477,0.002954034,0.003093795,0.7839327,0.00086734,0.09135424,0.04353644,0.000407826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8772494,0.0003045005,0.1123566,0.005206843,0.001365432,0.0001182899,0.0001539886,0.000007144054,0.003237834],"genre_scores_gemma":[0.9897915,0.0003595086,0.008661176,0.0001590373,0.0008353381,0.000002230024,0.00002841199,0.00001194609,0.000150822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7817935,"threshold_uncertainty_score":0.6706609,"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."}}