{"id":"W4403061527","doi":"10.58931/cdt.2024.53125","title":"Keratinocyte Carcinoma: Canadian Landscape and an Evidence-based Approach to Follow-up","year":2024,"lang":"en","type":"article","venue":"Canadian dermatology today.","topic":"Nonmelanoma Skin Cancer Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Keratinocyte; Carcinoma; Geography; Medicine; Biology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001401562,0.0002966778,0.0004895192,0.0009235267,0.0002885656,0.0001064346,0.0001745725,0.00023704,0.0001683596],"category_scores_gemma":[0.0001288224,0.0002877335,0.00007111543,0.000467065,0.000149622,0.0001724019,0.00002706304,0.0003157479,0.0001395848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006238757,"about_ca_system_score_gemma":0.004860282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5188278,"about_ca_topic_score_gemma":0.9186494,"domain_scores_codex":[0.9979333,0.00008432516,0.0002629961,0.0006811107,0.0001542046,0.0008840426],"domain_scores_gemma":[0.9968492,0.0001116416,0.00002068007,0.0004861492,0.00009443922,0.002437863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000774643,0.00001592049,0.7441592,0.0004823279,0.0001754618,0.005389357,0.00203288,0.00001211418,0.00004605222,0.002481767,0.2404585,0.004668943],"study_design_scores_gemma":[0.002520223,0.0004595384,0.5189314,0.0007760368,0.0005177752,0.007791862,0.001154794,0.0104442,0.0007812356,0.0001534878,0.4552182,0.001251151],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8687864,0.0289456,0.0001689321,0.05710441,0.001532007,0.001262846,0.0001484759,0.0001628273,0.04188849],"genre_scores_gemma":[0.9874769,0.00004547363,0.001013776,0.01000372,0.0002366832,0.0001579299,0.00007142474,0.00005557017,0.00093855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3998216,"threshold_uncertainty_score":0.9999575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03543238353738318,"score_gpt":0.2794836089959691,"score_spread":0.244051225458586,"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."}}