{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001827047,0.00009715541,0.000197625,0.000177802,0.0001222813,0.000007106889,0.00004601183,0.00008881585,0.0009783447],"category_scores_gemma":[0.0000769173,0.00008888836,0.0000762887,0.0001587668,0.00004212478,0.000075363,0.00002161634,0.000303238,0.0002049713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00107241,"about_ca_system_score_gemma":0.000369271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001860061,"about_ca_topic_score_gemma":0.006635635,"domain_scores_codex":[0.9991674,0.000076991,0.0001349299,0.0001609264,0.00009129017,0.0003684683],"domain_scores_gemma":[0.9993032,0.00003142894,0.00007295593,0.0001264906,0.0000999668,0.0003660197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002099567,0.001907506,0.3260019,0.0002501475,0.0003049101,0.0001919178,0.02191944,0.00000298182,0.0004739132,0.02635808,0.04647955,0.5758997],"study_design_scores_gemma":[0.0009059961,0.0001858122,0.0248288,0.0001560622,0.00006607561,0.0003615429,0.00508827,0.00002554482,0.0001668171,0.0002529384,0.9678568,0.0001053316],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4339938,0.06208676,0.00356684,0.103057,0.02102896,0.003018529,0.00002467313,0.0005011449,0.3727223],"genre_scores_gemma":[0.9969923,0.0001524373,0.000412371,0.0002604224,0.001301927,0.00005827495,0.000006569996,0.00001259648,0.0008031123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9213772,"threshold_uncertainty_score":0.9999349,"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."}}