{"id":"W4313856889","doi":"10.1016/j.tube.2023.102305","title":"Environmental risk of nontuberculous mycobacterial infection: Strategies for advancing methodology","year":2023,"lang":"en","type":"article","venue":"Tuberculosis","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health","keywords":"Nontuberculous mycobacteria; Tuberculosis; Environmental health; Infectious disease (medical specialty); Medicine; Disease; Environmental resource management; Environmental planning; Geography; Mycobacterium; Pathology; Environmental science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.475018,0.002544174,0.002670588,0.006992384,0.002165713,0.01149611,0.007445141,0.005729972,0.003796226],"category_scores_gemma":[0.3771646,0.00162803,0.002153246,0.003621672,0.0105197,0.01736769,0.0113155,0.008972453,0.001669804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005906966,"about_ca_system_score_gemma":0.03298248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006103775,"about_ca_topic_score_gemma":0.01010252,"domain_scores_codex":[0.6710521,0.2838005,0.01907991,0.005810402,0.01845174,0.001805406],"domain_scores_gemma":[0.4878596,0.3512491,0.03026139,0.04469944,0.07991845,0.006011948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007520884,0.0008692819,0.05047506,0.01166551,0.0005077546,0.0003691127,0.008214039,0.002151711,0.006294511,0.1199915,0.02710342,0.771606],"study_design_scores_gemma":[0.0004334434,0.00409746,0.0406596,0.03467368,0.001270408,0.001290626,0.01555446,0.009227112,0.02250263,0.3751082,0.4943749,0.0008075267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01084732,0.1434281,0.4995166,0.3221961,0.008429377,0.003234682,0.0005126662,0.000574733,0.01126042],"genre_scores_gemma":[0.05055345,0.05699592,0.8561856,0.02589776,0.004616207,0.003637307,0.0002631875,0.0001690993,0.001681427],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.475018,"threshold_uncertainty_score":0.6473963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03861689411903848,"score_gpt":0.3327602416638373,"score_spread":0.2941433475447988,"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."}}