{"id":"W4411148797","doi":"10.1001/jamainternmed.2025.1415","title":"The Converging Crises of Extreme Heat and Homelessness","year":2025,"lang":"en","type":"article","venue":"JAMA Internal Medicine","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Medicine; Extreme heat; Climate change","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":[],"consensus_categories":[],"category_scores_codex":[0.0002847662,0.00006260218,0.0001391333,0.00002712855,0.00008148832,0.00001009709,0.0001300825,0.00002493774,0.0005652139],"category_scores_gemma":[0.0002143189,0.00003502057,0.00001198261,0.0000970859,0.0002997765,0.00006125036,0.0001211996,0.00008914435,0.00001010165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000429893,"about_ca_system_score_gemma":0.000004180064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001874084,"about_ca_topic_score_gemma":0.0003701307,"domain_scores_codex":[0.9993911,0.00002166667,0.0001859203,0.00009989935,0.0001470325,0.0001543378],"domain_scores_gemma":[0.9994779,0.000288414,0.00004097822,0.0001144573,0.000009499634,0.00006878682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003593669,0.00005219003,0.6046591,0.0002910606,0.00002971767,0.00003008934,0.006021352,0.000009041806,0.02035305,0.001023645,0.07705848,0.2901129],"study_design_scores_gemma":[0.002245849,0.0003802285,0.898657,0.002037144,0.00004365335,0.00002433949,0.006290779,0.001318721,0.006799331,0.003258781,0.07880715,0.0001370791],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9551452,0.00165639,0.0001424967,0.02159827,0.0004097431,0.00009347993,0.000001850047,0.00000917976,0.02094334],"genre_scores_gemma":[0.9958832,0.001312717,0.00001114979,0.001744763,0.00008236642,0.000004158887,6.264971e-7,0.000003182567,0.0009578019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2939979,"threshold_uncertainty_score":0.6188696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04810633878417003,"score_gpt":0.3256895880530548,"score_spread":0.2775832492688848,"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."}}