{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001758719,0.0001221833,0.0003913053,0.000318529,0.0002416086,0.00001227325,0.0001275387,0.00009427036,0.0001061729],"category_scores_gemma":[0.0008218208,0.00008856608,0.00003572051,0.0009392929,0.002075857,0.0001207578,0.00004412289,0.0002681546,0.00001324752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001562559,"about_ca_system_score_gemma":0.0001012027,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01677149,"about_ca_topic_score_gemma":0.001382429,"domain_scores_codex":[0.9980649,0.00005704637,0.0003073495,0.000387243,0.0005341386,0.0006492963],"domain_scores_gemma":[0.9993775,0.0001193639,0.00004839654,0.000118378,0.00009807911,0.0002382273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001013004,0.0001183294,0.9137961,0.00004144996,0.00001004771,0.0000946872,0.002506969,0.000002083755,0.03072651,0.007754524,0.01515147,0.02969656],"study_design_scores_gemma":[0.001302054,0.0002114484,0.9896677,0.00006616469,0.00002223618,0.00003678166,0.0004298686,0.0003972359,0.000322181,0.003656302,0.003788813,0.00009927213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9175879,0.0007399689,0.00002133567,0.02397943,0.00008807767,0.0001887351,0.000001298783,0.00003008642,0.05736317],"genre_scores_gemma":[0.9971023,0.000222274,0.00003641313,0.001416484,0.0007657878,0.00001168365,0.000006523846,0.000007296111,0.0004312355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0795144,"threshold_uncertainty_score":0.9897759,"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."}}