{"id":"W2142057257","doi":"10.3747/co.19.1222","title":"Melanoma Prevention: Are We Doing Enough? A Canadian Perspective","year":2012,"lang":"en","type":"article","venue":"Current Oncology","topic":"Skin Protection and Aging","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Health Canada; Bristol-Myers Squibb Canada; Bristol-Myers Squibb","keywords":"Medicine; Melanoma; Perspective (graphical); Cancer research; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00467945,0.0008179581,0.001179208,0.002816275,0.009653923,0.006182841,0.002455455,0.006901262,0.01249619],"category_scores_gemma":[0.01089995,0.0003671329,0.0009291401,0.003090868,0.005190449,0.003247167,0.002316055,0.01034504,0.00106266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06414316,"about_ca_system_score_gemma":0.261306,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9760345,"about_ca_topic_score_gemma":0.9881831,"domain_scores_codex":[0.9956305,0.0005607339,0.0002191938,0.0002673353,0.001871214,0.001450936],"domain_scores_gemma":[0.9788299,0.001192597,0.000444122,0.0001686823,0.01008166,0.009283172],"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":[0.0001379329,0.0001768682,0.008938578,0.001586938,0.0001086719,0.0007000364,0.001952037,0.0003418843,0.0004741947,0.02175759,0.7984836,0.1653418],"study_design_scores_gemma":[0.00015916,0.0001537324,0.02711047,0.007954091,0.000356919,0.0008222202,0.01161739,0.0004863312,0.0002412118,0.01242809,0.9384827,0.0001877039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001363489,0.07159699,0.0001340668,0.9101381,0.003194976,0.00001904279,0.0001813384,0.0000265909,0.01334544],"genre_scores_gemma":[0.1138093,0.4934565,0.003159498,0.3645603,0.006334158,0.00006379561,0.0004662282,0.00006634535,0.01808377],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06414316,"threshold_uncertainty_score":0.4653934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1389328764807744,"score_gpt":0.4285968623674972,"score_spread":0.2896639858867228,"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."}}