{"id":"W4413674050","doi":"10.64628/aam.n3dgmtsy3","title":"Sun advice from a skin cancer researcher and physician","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Skin Protection and Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Advice (programming); Cancer; Skin cancer; Family medicine; Medicine; Dermatology; Computer science; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001893706,0.0005935449,0.0008960385,0.0009762741,0.001662571,0.002376844,0.0004674644,0.002926046,0.1736994],"category_scores_gemma":[0.02538854,0.0002617779,0.0006208826,0.0007211757,0.0005684426,0.001848241,0.0009356492,0.002766709,0.07884096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560951,"about_ca_system_score_gemma":0.002841999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002639469,"about_ca_topic_score_gemma":0.006809425,"domain_scores_codex":[0.9984854,0.0004486809,0.00008309077,0.0001460515,0.000723922,0.0001128346],"domain_scores_gemma":[0.9866812,0.005024573,0.0003671747,0.0007859589,0.004969138,0.002171883],"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":[0.00005241452,0.00002552118,0.0002798899,0.00007414987,0.00001062693,0.0003156204,0.0001652193,0.00004424006,0.0002155787,0.002540893,0.978898,0.01737777],"study_design_scores_gemma":[0.0000387443,0.00003545436,0.001311529,0.0001756403,0.0000244118,0.001153781,0.0006466183,0.0002310175,0.0004965628,0.009759522,0.9861103,0.00001630985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.005871475,0.01619974,0.005592402,0.5528306,0.1595446,0.000133912,0.002654216,0.001377915,0.2557951],"genre_scores_gemma":[0.03500023,0.007842355,0.006488503,0.05769269,0.03816874,0.00005126268,0.0006185456,0.001047108,0.8530905],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1736994,"threshold_uncertainty_score":0.5810825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04120688068096208,"score_gpt":0.3748259465389409,"score_spread":0.3336190658579788,"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."}}