{"id":"W2048195863","doi":"10.1016/j.healthplace.2011.11.008","title":"Improving the measurement of neighbourhood characteristics through systematic observation: Inequalities in smoking as a case study","year":2012,"lang":"en","type":"article","venue":"Health & Place","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôtel-Dieu de Montréal; Université de Montréal","funders":"Canadian Institutes of Health Research; Public Health Agency; Public Health Agency of Canada","keywords":"Neighbourhood (mathematics); Inequality; Reliability (semiconductor); Psychology; Environmental health; Medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01044304,0.0001177218,0.0004457514,0.00003911635,0.000700317,0.00005251664,0.0001618497,0.00005734184,0.00004153704],"category_scores_gemma":[0.001594855,0.00008761619,0.00003892264,0.0002731943,0.0000513818,0.00031588,0.00004316919,0.0001910253,0.000003950246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006437744,"about_ca_system_score_gemma":0.001026863,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2465996,"about_ca_topic_score_gemma":0.03963012,"domain_scores_codex":[0.9962059,0.001306049,0.0009223426,0.0001311409,0.0007775315,0.0006570126],"domain_scores_gemma":[0.9981615,0.0007442736,0.0005504333,0.0002437217,0.000145395,0.0001546551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001797632,0.0002776722,0.3696364,0.01755196,0.00002171635,0.0000282954,0.5877484,0.000003330987,3.618659e-7,0.02394274,0.00008163771,0.000689556],"study_design_scores_gemma":[0.0005056935,0.0001340642,0.1205121,0.00231878,0.00003303312,0.00002998104,0.8752114,0.00008447272,0.000002026249,0.00007137005,0.00092889,0.0001682097],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901974,0.001803954,0.00006201146,0.005111233,0.0007011469,0.001522186,0.000006037671,0.00003041888,0.0005656076],"genre_scores_gemma":[0.9961804,0.00008457731,0.00007426558,0.003206421,0.0002290082,0.0001327743,8.986959e-7,0.00001066443,0.0000810603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.287463,"threshold_uncertainty_score":0.9778941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1674646102463734,"score_gpt":0.3874537690878931,"score_spread":0.2199891588415198,"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."}}