{"id":"W2149530115","doi":"10.1111/j.1365-2133.2005.06529.x","title":"Surgery for basal cell carcinoma: study biases","year":2005,"lang":"en","type":"letter","venue":"British Journal of Dermatology","topic":"Nonmelanoma Skin Cancer Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Citation; SAINT; Library science; Medicine; History; Computer science; Art history","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1210188,0.0006388686,0.002026977,0.001773802,0.001821788,0.002572512,0.001888598,0.005004471,0.006983786],"category_scores_gemma":[0.28984,0.001053364,0.003058743,0.0039674,0.001519251,0.002258231,0.001775889,0.002222088,0.0007936444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001925741,"about_ca_system_score_gemma":0.002381547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006745788,"about_ca_topic_score_gemma":0.01210076,"domain_scores_codex":[0.8129428,0.1379195,0.03064922,0.006983173,0.009407377,0.002097839],"domain_scores_gemma":[0.6078171,0.3054092,0.04793318,0.02637645,0.009727405,0.00273655],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01476492,0.0002362478,0.7446223,0.01126611,0.0253069,0.002898316,0.004751521,0.0002711885,0.0006133791,0.01049737,0.0816598,0.1031118],"study_design_scores_gemma":[0.01403052,0.002886475,0.5891813,0.01865367,0.05678243,0.01354383,0.006406832,0.002695862,0.002766582,0.04616169,0.2464079,0.0004828247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3334923,0.3815581,0.01074475,0.1942705,0.02158355,0.002675451,0.01311027,0.000173347,0.04239185],"genre_scores_gemma":[0.8687724,0.01443222,0.003285528,0.0976865,0.007995471,0.001781112,0.001628898,0.0001044201,0.004313522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8789812,"threshold_uncertainty_score":0.640016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04037926137552587,"score_gpt":0.2861393435797365,"score_spread":0.2457600822042106,"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."}}