{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0411585,0.000557173,0.001452621,0.007227062,0.003396438,0.008887813,0.002688451,0.002413376,0.006298533],"category_scores_gemma":[0.09970553,0.0004955676,0.001320645,0.01102358,0.003099199,0.004047981,0.002841688,0.004888467,0.0006833086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04876243,"about_ca_system_score_gemma":0.1655549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.741998,"about_ca_topic_score_gemma":0.8793445,"domain_scores_codex":[0.973019,0.008135181,0.005481942,0.001177726,0.01086344,0.001322701],"domain_scores_gemma":[0.8540636,0.02050767,0.01044668,0.003543303,0.1012585,0.0101803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000368011,0.000283207,0.05084447,0.01776122,0.0009321801,0.0006687007,0.001244326,0.0008229129,0.0005849578,0.05499998,0.2303703,0.6411197],"study_design_scores_gemma":[0.0005005144,0.0003460548,0.08943103,0.1236528,0.001847523,0.001080221,0.002963835,0.001088726,0.0004416946,0.01830932,0.7601644,0.0001738904],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004615118,0.4203446,0.00285064,0.5208493,0.006158058,0.0008209005,0.001849544,0.00006757346,0.04244424],"genre_scores_gemma":[0.1945413,0.6482278,0.02700963,0.1156314,0.005542904,0.0009536552,0.00258053,0.00007323865,0.005439692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.258002,"threshold_uncertainty_score":0.5190428,"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."}}