{"id":"W4394449751","doi":"10.6084/m9.figshare.20036528","title":"Supplementary Material for: Analysis of Geographic and Environmental Factors and Their Association with Cutaneous Melanoma Incidence in Canada","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incidence (geometry); Association (psychology); Geography; Cartography; Environmental health; Dermatology; Medicine; Psychology; Mathematics","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":[0.0008730003,0.000575999,0.0006533341,0.004079957,0.001802596,0.001710862,0.001604421,0.0005992933,0.4692794],"category_scores_gemma":[0.0177236,0.0004021318,0.0009677353,0.007232472,0.0002353767,0.0006346627,0.0008958628,0.0007330303,0.03673048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007602696,"about_ca_system_score_gemma":0.02221815,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8562196,"about_ca_topic_score_gemma":0.9135258,"domain_scores_codex":[0.9993531,0.0000572579,0.00008983551,0.0001139222,0.0002511827,0.0001347957],"domain_scores_gemma":[0.9877605,0.003534394,0.0007383151,0.0005094007,0.006586756,0.0008706407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009538892,0.00005396145,0.03152021,0.0008094662,0.00005537456,0.00009077085,0.0001352064,0.0003181507,0.00006072166,0.0004993997,0.9445511,0.0218103],"study_design_scores_gemma":[0.000516846,0.0001035479,0.4565174,0.002811409,0.0002833847,0.0005506442,0.002118552,0.002604527,0.0004539013,0.00235459,0.53156,0.0001251877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002436239,0.0001379197,0.0003364425,0.0004445606,0.00009828567,0.0001234216,0.9903181,0.0002121726,0.005892797],"genre_scores_gemma":[0.04463928,0.001028458,0.006878412,0.00115739,0.000153367,0.001131885,0.9100267,0.000552916,0.0344315],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4692794,"threshold_uncertainty_score":0.7570085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009355892781339876,"score_gpt":0.2035867673052114,"score_spread":0.1942308745238715,"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."}}