{"id":"W1964448586","doi":"10.1148/radiol.2015140620","title":"Thyroid Biopsy Specialists: A Quality Initiative to Reduce Wait Times and Improve Adequacy Rates","year":2015,"lang":"en","type":"article","venue":"Radiology","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; Women's College Hospital; University of Toronto; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Medicine; Thyroid nodules; Cytopathology; Biopsy; Institutional review board; Waiver; Thyroid; Radiology; Fine-needle aspiration; Surgery; Cytology; Internal medicine; 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":[0.009373713,0.0003780037,0.0002047123,0.0009944135,0.0006864831,0.001402046,0.001404786,0.0008967155,0.002861452],"category_scores_gemma":[0.01663396,0.0002698962,0.0004410605,0.000564023,0.000531496,0.0009493478,0.002188383,0.0007048344,0.0004437408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00240499,"about_ca_system_score_gemma":0.01101976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005127941,"about_ca_topic_score_gemma":0.008869758,"domain_scores_codex":[0.99551,0.002101957,0.0002968803,0.0004309024,0.001151167,0.0005090721],"domain_scores_gemma":[0.9841594,0.002863537,0.004786486,0.0008065577,0.002679541,0.004704634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001140285,0.005970072,0.5238587,0.0007073066,0.0000968538,0.0002727249,0.001620831,0.001490401,0.008576198,0.0006476353,0.008979562,0.4466394],"study_design_scores_gemma":[0.001939098,0.01153201,0.9501396,0.0004207779,0.0002104309,0.001172908,0.001820654,0.006719425,0.006901925,0.0004444675,0.01863678,0.00006178802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568902,0.0014064,0.02165491,0.009615687,0.0002305121,0.00181354,0.000250756,0.0009181357,0.007219886],"genre_scores_gemma":[0.9421728,0.0006368958,0.05092644,0.00264276,0.0003052319,0.0009738587,0.0004182038,0.00005176207,0.001871974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009373713,"threshold_uncertainty_score":0.04957348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06385227035048718,"score_gpt":0.3641259922771173,"score_spread":0.3002737219266301,"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."}}