{"id":"W2996481870","doi":"10.1016/j.healthplace.2019.102277","title":"Evidence for urban design and public health policy and practice: Space syntax metrics and neighborhood walking","year":2019,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Space syntax; Walkability; Urban design; Syntax; Space (punctuation); Public space; Street network; Unit (ring theory); Geography; Built environment; Transport engineering; Urban planning; Computer science; Architectural engineering; Psychology; Civil engineering; Engineering; Artificial intelligence","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":[0.03133299,0.00116598,0.001764144,0.004593707,0.001586042,0.007608094,0.004101602,0.00338081,0.02142155],"category_scores_gemma":[0.1784248,0.000781372,0.00283542,0.008557299,0.006979859,0.00625123,0.005523921,0.003284538,0.0007182874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004427997,"about_ca_system_score_gemma":0.008528724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04755758,"about_ca_topic_score_gemma":0.06413478,"domain_scores_codex":[0.9771295,0.01434017,0.002262912,0.002054615,0.003115929,0.001096864],"domain_scores_gemma":[0.7284037,0.1995397,0.0339984,0.01400241,0.01952582,0.00452998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003062673,0.001120713,0.6741887,0.008359607,0.007911201,0.0003052575,0.009984151,0.004264115,0.0002176058,0.1256144,0.01369058,0.1512811],"study_design_scores_gemma":[0.0009153947,0.001754233,0.7380465,0.01955384,0.01122512,0.0002533704,0.02767047,0.00774574,0.001117789,0.1364941,0.05487577,0.0003477284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7709299,0.09034475,0.01205287,0.06236344,0.001613457,0.0002091101,0.005277629,0.00007651448,0.05713236],"genre_scores_gemma":[0.9875729,0.006346549,0.00268582,0.001168653,0.0002664377,0.00008887887,0.0006292522,0.00003931576,0.001202182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04755758,"threshold_uncertainty_score":0.1657066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1497754066971221,"score_gpt":0.4282147821305977,"score_spread":0.2784393754334756,"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."}}