{"id":"W2179581006","doi":"10.1093/cid/civ610","title":"Collaborative Effort for a Centralized Worldwide Tuberculosis Relational Sequencing Data Platform: Figure 1.","year":2015,"lang":"en","type":"article","venue":"Clinical Infectious Diseases","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health; World Health Organization; Bill and Melinda Gates Foundation","keywords":"Medicine; General partnership; Tuberculosis; Data science; Public health; Knowledge management; Computer science; Business; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001473447,0.0002335011,0.000800739,0.0001246253,0.0001648643,0.00003562188,0.0002213906,0.0002508525,0.0001974033],"category_scores_gemma":[0.02714027,0.0001864773,0.0002887284,0.0004117675,0.000308005,0.0003507999,0.0001983582,0.0004052416,0.0001468104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000311488,"about_ca_system_score_gemma":0.001638943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008313003,"about_ca_topic_score_gemma":0.0001204134,"domain_scores_codex":[0.9972094,0.0002467321,0.000899119,0.0006943629,0.0003632336,0.0005871422],"domain_scores_gemma":[0.9941601,0.002849205,0.0001933634,0.0008224486,0.0006609823,0.001313898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009315603,0.0004538289,0.7488475,0.00007454277,0.0005355841,0.00003168618,0.00003617117,0.0001147035,0.00001059004,0.001231027,0.2454164,0.002316394],"study_design_scores_gemma":[0.01540396,0.002597073,0.7157122,0.0002679157,0.001349948,0.00005384304,0.0003246696,0.01948331,0.00003036167,0.01020591,0.2339739,0.000596926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733205,0.002803779,0.001882388,0.0100622,0.001069462,0.00275426,0.001982024,0.0004531899,0.005672186],"genre_scores_gemma":[0.9854714,0.0006837357,0.001305483,0.005435749,0.001481563,0.0002671489,0.004703603,0.00005248075,0.0005988223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03313536,"threshold_uncertainty_score":0.9810545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1865343814781343,"score_gpt":0.4489437453988945,"score_spread":0.2624093639207603,"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."}}