{"id":"W2950038012","doi":"","title":"COMPARATIVE INCIDENCE OF TUBERCULOSIS IN CANADA: THE PAST, PRESENT AND FUTURE","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Oxford","keywords":"Tuberculosis; Incidence (geometry); Geography; Medicine; Mathematics; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001883699,0.0003380129,0.0005283326,0.00720784,0.001455963,0.002381087,0.001133011,0.0003969744,0.002073832],"category_scores_gemma":[0.005827412,0.0002417098,0.0009395315,0.02027792,0.0007456854,0.0009682701,0.0009209141,0.0009638889,0.0002278605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04591932,"about_ca_system_score_gemma":0.05791659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9923393,"about_ca_topic_score_gemma":0.9943087,"domain_scores_codex":[0.9980405,0.0001214538,0.0001538092,0.0001941437,0.001001189,0.0004888938],"domain_scores_gemma":[0.9944897,0.0002556669,0.0007396655,0.0001183525,0.003730606,0.0006660962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004360652,0.00004593881,0.8799102,0.001682077,0.0004607776,0.0003336128,0.00196735,0.000627298,0.0002565234,0.003343994,0.0169441,0.09399201],"study_design_scores_gemma":[0.000009686049,0.0000369173,0.9821396,0.0005787518,0.0002197578,0.0002500558,0.002059465,0.0004503969,0.0001317403,0.0002493445,0.01383493,0.00003937685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7350075,0.1283173,0.001239354,0.01074735,0.0004645897,0.0001459678,0.08669381,0.0002126713,0.03717142],"genre_scores_gemma":[0.9430227,0.03501836,0.002072787,0.0005154233,0.0001000644,0.00003656651,0.01699817,0.00003525758,0.002200562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04591932,"threshold_uncertainty_score":0.3331695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02331218621017012,"score_gpt":0.3322706413493638,"score_spread":0.3089584551391937,"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."}}