{"id":"W2281601788","doi":"","title":"The Canadian Thyroid Cancer Consortium Registry development experience","year":2007,"lang":"en","type":"article","venue":"","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Nova Scotia Cancer Centre; London Health Sciences Centre","funders":"","keywords":"Computer science; Database; Identifier; Documentation; World Wide Web; Audit; Data dictionary; Metadata; Information retrieval","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07138609,0.0006883368,0.0005171825,0.004820707,0.005505477,0.006506951,0.006416814,0.001238113,0.007650163],"category_scores_gemma":[0.06923141,0.0009872909,0.0007651647,0.01380546,0.002138182,0.002907137,0.007488384,0.001954931,0.001773777],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07295514,"about_ca_system_score_gemma":0.2957536,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9046868,"about_ca_topic_score_gemma":0.9348532,"domain_scores_codex":[0.9653999,0.00956364,0.002195194,0.002553341,0.01549621,0.004791657],"domain_scores_gemma":[0.9113685,0.01121807,0.003598411,0.008221417,0.04480461,0.02078894],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005296314,0.0005101283,0.1899184,0.0008002848,0.0001095441,0.002239774,0.01669842,0.002154053,0.001080907,0.02099321,0.3696757,0.3952899],"study_design_scores_gemma":[0.0001729974,0.0002325152,0.1180979,0.0008847954,0.00007174396,0.001696669,0.01253559,0.001538715,0.0009279884,0.001148042,0.8625385,0.0001545922],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3639233,0.0223132,0.019941,0.1839245,0.003176955,0.01022411,0.05377971,0.004560986,0.3381563],"genre_scores_gemma":[0.753573,0.02032697,0.08311728,0.01593834,0.000736674,0.004905379,0.06165396,0.001874194,0.0578742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9286139,"threshold_uncertainty_score":0.5293291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01926647349750046,"score_gpt":0.3003387023930721,"score_spread":0.2810722288955717,"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."}}