{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05294726,0.0005472915,0.001237335,0.00152403,0.001558088,0.001095153,0.001441353,0.002095659,0.000531477],"category_scores_gemma":[0.1040837,0.0006346536,0.00156852,0.002959736,0.001500733,0.002295827,0.003088206,0.001615013,0.00008366206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001700444,"about_ca_system_score_gemma":0.006499387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06854212,"about_ca_topic_score_gemma":0.1042398,"domain_scores_codex":[0.9290819,0.06090086,0.003501107,0.001886558,0.003546714,0.001082918],"domain_scores_gemma":[0.8975244,0.06928317,0.008659959,0.01516082,0.008182954,0.001188808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006168436,0.0008414597,0.9091871,0.001121503,0.001420871,0.0004035895,0.006829761,0.00121642,0.001043775,0.001728114,0.00168277,0.07390777],"study_design_scores_gemma":[0.0006375418,0.003450824,0.9211364,0.002804557,0.005962994,0.001169071,0.01443414,0.02785772,0.004226566,0.009829062,0.008232022,0.0002591479],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9488919,0.003960662,0.04002956,0.00308958,0.0001635178,0.0008860756,0.000769237,0.00003270606,0.002176609],"genre_scores_gemma":[0.97483,0.001056668,0.0226439,0.0003541642,0.00004051467,0.0006341817,0.0002141222,0.00001058785,0.0002157436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06854212,"threshold_uncertainty_score":0.2800153,"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."}}