{"id":"W2030434076","doi":"10.1016/j.socscimed.2005.12.015","title":"Dwellings, crowding, and tuberculosis in Montreal","year":2006,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Crowding; Census; Demography; Quartile; Residence; Geography; Odds ratio; Neighbourhood (mathematics); Geocoding; Socioeconomics; Medicine; Environmental health; Confidence interval; Cartography; Population; Sociology; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004538335,0.000335973,0.0003574091,0.001970548,0.003210059,0.001521918,0.001147261,0.0006590271,0.005974262],"category_scores_gemma":[0.002116108,0.000387639,0.0006131226,0.003571171,0.001072549,0.0006458671,0.001328537,0.0008062914,0.0002534174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02361315,"about_ca_system_score_gemma":0.01419008,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9923718,"about_ca_topic_score_gemma":0.9959815,"domain_scores_codex":[0.9994276,0.0001008874,0.00002884723,0.00008564599,0.0001077726,0.0002491206],"domain_scores_gemma":[0.9982193,0.0001043128,0.0004102342,0.00003914391,0.0003960681,0.000830972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001029835,0.0001027318,0.989096,0.00004798164,0.0001070198,0.0001620967,0.00210404,0.0003156106,0.0002715793,0.0003872952,0.002310426,0.00499225],"study_design_scores_gemma":[0.00000594112,0.00003138755,0.9963526,0.00001782813,0.00002344852,0.00002276285,0.001990231,0.0002475836,0.00003114391,0.00003205778,0.001230419,0.00001472565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921454,0.001035798,0.00009212722,0.0009010229,0.00003205041,0.00004354605,0.002424125,0.00002627963,0.003299708],"genre_scores_gemma":[0.9978778,0.0002379458,0.00006605073,0.00006343356,0.00001559568,0.00001440972,0.000296216,0.00000430656,0.001424299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02361315,"threshold_uncertainty_score":0.1713262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0215799739218139,"score_gpt":0.3434052001340699,"score_spread":0.3218252262122561,"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."}}