{"id":"W30719769","doi":"10.1023/a:1015724619845","title":"Health profiles of Hamilton: Spatial characterisation of neighbourhoods for health investigations","year":2001,"lang":"en","type":"article","venue":"GeoJournal","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Hamilton Health Sciences; University of Windsor","funders":"","keywords":"Neighbourhood (mathematics); Public health; Socioeconomic status; Human geography; Principal component analysis; Geography; Regional science; Multivariate statistics; Health geography; Cluster analysis; Environmental health; Multivariate analysis; Statistics; Health policy; Economic geography; Population; Medicine; Mathematics; International health","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":[0.001517323,0.00006870385,0.0002976988,0.00008851044,0.0005760525,0.00001975023,0.0001233857,0.00005331293,0.000153218],"category_scores_gemma":[0.000217499,0.00006573999,0.00008317184,0.0001714756,0.0001331205,0.0001558557,0.000009048753,0.0001014201,0.000001581988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001363933,"about_ca_system_score_gemma":0.001842551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02401624,"about_ca_topic_score_gemma":0.009798763,"domain_scores_codex":[0.9983649,0.0002074232,0.0006231167,0.00009802217,0.0003012627,0.0004052616],"domain_scores_gemma":[0.9986721,0.0001268748,0.0006656296,0.0000897635,0.0001578667,0.0002878137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001203361,0.0002682818,0.7212131,0.001118788,0.00004756214,8.36538e-7,0.05854265,0.00005639447,0.00005341346,0.06721667,0.009840113,0.1415219],"study_design_scores_gemma":[0.0005861716,0.0002747266,0.9134105,0.0002606934,0.000005988074,0.000004191324,0.00313391,0.0001841792,0.00007092027,0.003271577,0.07869583,0.000101267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7918506,0.0006630127,0.01213821,0.1917295,0.0009789178,0.001076858,0.0001657076,0.00003596426,0.001361181],"genre_scores_gemma":[0.9914649,0.001326793,0.002525013,0.003787837,0.0005920164,0.0000173571,0.00002524522,0.000008514226,0.0002523983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1996142,"threshold_uncertainty_score":0.9824829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05557718978392884,"score_gpt":0.386403674536447,"score_spread":0.3308264847525182,"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."}}