{"id":"W1562155606","doi":"","title":"Tomografia de coerência óptica no diagnóstico do carcinoma basocelular","year":2013,"lang":"pt","type":"article","venue":"Surgical & Cosmetic Dermatology","topic":"Nonmelanoma Skin Cancer Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SKiN Health","funders":"","keywords":"Medicine; Basal cell carcinoma; Optical coherence tomography; Radiology; Dermatology; Basal cell; Pathology","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":[0.0003451593,0.0003765524,0.0002813401,0.004323196,0.0004254644,0.0004310666,0.0003696284,0.0007347633,0.002865613],"category_scores_gemma":[0.001722922,0.0002866709,0.0002696213,0.001051019,0.0004163256,0.0006353169,0.0003063736,0.000687215,0.0006100443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004882591,"about_ca_system_score_gemma":0.0003863775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01150945,"about_ca_topic_score_gemma":0.008602642,"domain_scores_codex":[0.9998184,0.0000278615,0.00001988026,0.00002478739,0.00005993371,0.00004908929],"domain_scores_gemma":[0.9994557,0.0001786287,0.00007325937,0.0000550838,0.000138302,0.00009898532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002008816,0.0003474239,0.4461653,0.0005714456,0.0002424728,0.3298194,0.0005218665,0.001263938,0.1138356,0.001126251,0.004749957,0.09934753],"study_design_scores_gemma":[0.0001687264,0.0006466475,0.5223477,0.0004039018,0.0004287662,0.4250201,0.0008011729,0.007529011,0.02687912,0.00122977,0.01445605,0.0000889643],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9384611,0.01098231,0.003717223,0.001388818,0.0001470117,0.0002081923,0.0009247307,0.0002390108,0.04393165],"genre_scores_gemma":[0.9899037,0.004877048,0.002517115,0.0003816427,0.0001603892,0.00002963263,0.0002950761,0.00002631833,0.001809107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01150945,"threshold_uncertainty_score":0.02288491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089063173102092,"score_gpt":0.2645255335846593,"score_spread":0.2536349018536384,"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."}}