{"id":"W6958655546","doi":"10.6084/m9.figshare.c.6001813","title":"Prioritising attributes for tuberculosis preventive treatment regimens: a modelling analysis","year":2022,"lang":"en","type":"other","venue":"Figshare","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"","keywords":"Regimen; Tuberculosis; Epidemiology; Incidence (geometry); Public health; Rifampicin","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":[0.003934981,0.0009681051,0.0009622608,0.00145496,0.0005762164,0.002150352,0.001285372,0.001686182,0.00976928],"category_scores_gemma":[0.01156204,0.0006186214,0.00210277,0.001186842,0.000601054,0.001298294,0.001063021,0.001160147,0.0004264196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003763692,"about_ca_system_score_gemma":0.002482702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02043101,"about_ca_topic_score_gemma":0.01667954,"domain_scores_codex":[0.998051,0.00136792,0.00004865039,0.0001522758,0.0001343843,0.000245768],"domain_scores_gemma":[0.9825954,0.01578222,0.0007681631,0.0001813855,0.0004649288,0.0002079192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001461712,0.0001137603,0.003939961,0.0002169663,0.0000846175,0.0001001405,0.0000959205,0.9793036,0.0003625018,0.009968196,0.0006223004,0.005045755],"study_design_scores_gemma":[0.00005551126,0.0001578015,0.001910831,0.00006982886,0.0001045813,0.0000377552,0.0001322108,0.9884682,0.0001950252,0.007438652,0.00140544,0.00002409636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7634977,0.002065313,0.1772408,0.004206549,0.00008557913,0.001353565,0.005548977,0.0003177156,0.04568393],"genre_scores_gemma":[0.9692999,0.0004660801,0.02559685,0.0001318279,0.00001485525,0.0004368711,0.0005327875,0.00002648134,0.003494391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02043101,"threshold_uncertainty_score":0.0406242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2413875115581348,"score_gpt":0.3911533711627844,"score_spread":0.1497658596046496,"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."}}