{"id":"W2887813805","doi":"10.1503/cmaj.109-5643","title":"Canada among top 20 countries for skin cancer risk","year":2018,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Skin cancer; Medicine; Data science; Cancer; Environmental health; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.00034561,0.0005617135,0.0005776103,0.002429066,0.004030563,0.002071005,0.0007011837,0.0006990276,0.02950269],"category_scores_gemma":[0.001118378,0.0001479092,0.000547688,0.005057553,0.0004093251,0.0005491902,0.0009138153,0.001521522,0.002082494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007222996,"about_ca_system_score_gemma":0.03750904,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9148791,"about_ca_topic_score_gemma":0.9675428,"domain_scores_codex":[0.9993704,0.00003265981,0.0000238368,0.0000584378,0.0002624241,0.0002522505],"domain_scores_gemma":[0.9988167,0.00003612509,0.0001165107,0.00002002497,0.0004926274,0.0005179694],"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":[0.0001577465,0.0001114842,0.2334505,0.0007492761,0.0001931778,0.001221224,0.0006651595,0.0001557433,0.0003909809,0.007811501,0.6199991,0.1350942],"study_design_scores_gemma":[0.00008083408,0.00009370196,0.4109561,0.002072794,0.0004745341,0.003097689,0.00745081,0.0005742109,0.0006499366,0.002524768,0.5718957,0.0001289222],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2766594,0.1492729,0.00155225,0.1141328,0.00791446,0.0005494492,0.106754,0.001022783,0.342142],"genre_scores_gemma":[0.7832106,0.08988448,0.005195931,0.02585381,0.001166817,0.0002351366,0.02425448,0.0002778884,0.06992089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08512092,"threshold_uncertainty_score":0.1712444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00419431720047421,"score_gpt":0.226642080594622,"score_spread":0.2224477633941478,"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."}}