{"id":"W95773039","doi":"10.1023/a:1015768302098","title":"Exploring the links between health and housing: The limitations of population health surveys","year":2001,"lang":"en","type":"article","venue":"GeoJournal","topic":"Human Health and Disease","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Human geography; Geography; Political science; Economic geography","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":[0.001996194,0.00006907909,0.0001905161,0.00007162159,0.0005878027,0.00001817959,0.00005060322,0.00002454944,0.000009216453],"category_scores_gemma":[0.0002684744,0.00003941224,0.00004454018,0.0001647153,0.00004412272,0.00008486924,0.00001446838,0.0004057501,0.000003063507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005914324,"about_ca_system_score_gemma":0.0003693793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015456,"about_ca_topic_score_gemma":0.0002663129,"domain_scores_codex":[0.9986262,0.0003992304,0.0003944907,0.00009131225,0.0002297959,0.0002589106],"domain_scores_gemma":[0.998817,0.0003038258,0.0002170526,0.0001669751,0.00006530897,0.0004298786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003605649,0.00003672047,0.7474636,0.00006525726,0.00001628601,0.000002299914,0.002288038,0.00003289137,7.68515e-7,0.0001272662,0.0006534749,0.2492773],"study_design_scores_gemma":[0.0004537195,0.0002388432,0.9936205,0.00009334203,0.00001616763,0.00003066457,0.0008056241,0.00007131435,6.253783e-7,0.0002725929,0.004365223,0.00003138191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9401395,0.001618133,0.0005645864,0.05719108,0.00008536236,0.00027795,0.000005471576,0.00001605546,0.0001018089],"genre_scores_gemma":[0.9916661,0.003401747,0.0001295929,0.004205433,0.000514942,0.000006342682,0.00003153154,0.000009786746,0.00003447319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.249246,"threshold_uncertainty_score":0.4520963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4199888541706938,"score_gpt":0.3923758216898973,"score_spread":0.0276130324807965,"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."}}