{"id":"W6926345856","doi":"10.25384/sage.8198165","title":"Supplementary_Tables_-_revision_final – Supplemental material for Incidence, Mortality, and Spatiotemporal Distribution of Cutaneous Malignant Melanoma Cases Across Canada","year":2019,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Melanoma; Distribution (mathematics); Skin cancer; Skin lesion; Sun exposure","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001101125,0.0008101271,0.0008819262,0.004358782,0.001354979,0.001885339,0.001906852,0.0006023654,0.5387555],"category_scores_gemma":[0.01601392,0.0004787716,0.001130288,0.009608462,0.0003141275,0.0008434103,0.0008896544,0.001137965,0.07371424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008918841,"about_ca_system_score_gemma":0.0192947,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8167111,"about_ca_topic_score_gemma":0.8486872,"domain_scores_codex":[0.9986863,0.00007748058,0.0001690222,0.0001868694,0.0006285816,0.0002517799],"domain_scores_gemma":[0.9801906,0.002281419,0.001014872,0.0006706964,0.01485171,0.0009908214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005612503,0.00002725754,0.003974721,0.0003313565,0.0000340308,0.00001997238,0.00002044084,0.0001319831,0.00003453831,0.0002504229,0.9866347,0.008484404],"study_design_scores_gemma":[0.0003751246,0.00006629032,0.132038,0.001285074,0.0001413099,0.0003041475,0.0003614622,0.0006904211,0.000330069,0.001388437,0.8629373,0.00008237329],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006267717,0.0002208993,0.0001949247,0.0004105922,0.000277427,0.0001243079,0.9890354,0.0002347961,0.008874812],"genre_scores_gemma":[0.0108769,0.0008704484,0.001659246,0.0007719288,0.0003159478,0.0002723027,0.9518464,0.0003223157,0.03306441],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5387555,"threshold_uncertainty_score":0.6579093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04394192568672545,"score_gpt":0.3308259793083763,"score_spread":0.2868840536216509,"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."}}