{"id":"W2150515727","doi":"10.1177/1527154411429198","title":"Public Policy Analysis to Redress Urban Environmental Health Inequities","year":2011,"lang":"en","type":"article","venue":"Policy Politics & Nursing Practice","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Health Canada; Killam Trusts; Dalhousie University","keywords":"Redress; Public policy; Public health; Health policy; Policy analysis; Political science; Context (archaeology); Poverty; Economic growth; Social policy; Sociology; Health care; Public administration; Geography; Economics; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00801652,0.0002524297,0.0002462249,0.002021375,0.006252057,0.007065251,0.0008985556,0.001706187,0.005010893],"category_scores_gemma":[0.009333903,0.0001827944,0.0002350672,0.002155194,0.007494309,0.00232892,0.003030448,0.002111914,0.000133814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03654406,"about_ca_system_score_gemma":0.05587273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.218302,"about_ca_topic_score_gemma":0.4020979,"domain_scores_codex":[0.996058,0.002374076,0.00005456463,0.0001213659,0.000474393,0.0009175813],"domain_scores_gemma":[0.9931374,0.005055601,0.00033313,0.0003041473,0.0008914756,0.0002782645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002060362,0.00009891049,0.007150321,0.0001925133,0.00002322309,0.0002922201,0.02334462,0.006093233,0.0003429787,0.9120252,0.01837429,0.03204187],"study_design_scores_gemma":[0.00002382719,0.00004399677,0.01897045,0.001029645,0.00005589662,0.00009917719,0.1977282,0.01127292,0.001118184,0.4155295,0.3540891,0.00003927897],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2251173,0.00556307,0.03262899,0.2322284,0.0006188083,0.0004303317,0.0003772342,0.0001921258,0.5028438],"genre_scores_gemma":[0.9728268,0.001484452,0.007166108,0.003807111,0.0001051557,0.0001245592,0.00005766666,0.00001996129,0.01440806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.218302,"threshold_uncertainty_score":0.4340627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3897485734245808,"score_gpt":0.5232374966305952,"score_spread":0.1334889232060144,"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."}}