{"id":"W2954284932","doi":"10.1111/cag.12549","title":"Examining social inclusion among pedestrian plans in Canada","year":2019,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Pedestrian; Inclusion (mineral); Outreach; Stakeholder; Recreation; Political science; Public relations; Socioeconomic status; Social engagement; Public administration; Economic growth; Population; Medicine; Psychology; Environmental health; Economics; Transport engineering; Engineering; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002923158,0.0004330527,0.0006497576,0.004550948,0.01296983,0.003505433,0.001826353,0.000564924,0.003135055],"category_scores_gemma":[0.006754216,0.0004172008,0.0009108949,0.009964834,0.002432968,0.0009334094,0.004537176,0.0009895109,0.0001941347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09185629,"about_ca_system_score_gemma":0.1564759,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981437,"about_ca_topic_score_gemma":0.9992678,"domain_scores_codex":[0.9962485,0.0003535862,0.0001263676,0.0003334766,0.001344419,0.001593677],"domain_scores_gemma":[0.9944071,0.0003263499,0.0006311188,0.0002053164,0.002940191,0.001489979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007768723,0.0001576122,0.9158615,0.0001216751,0.00007818865,0.0001815927,0.04578386,0.0003570048,0.0001216076,0.003870714,0.00584667,0.02754184],"study_design_scores_gemma":[0.000008127883,0.00003937563,0.9333373,0.0001667262,0.00004527101,0.00003578057,0.05591056,0.0005987842,0.00007442675,0.0003825719,0.00937105,0.00002999768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844984,0.0004800681,0.0002600302,0.001072685,0.00002581531,0.0001750127,0.002008881,0.00001046902,0.01146861],"genre_scores_gemma":[0.9962379,0.0003615755,0.0004242694,0.0001539368,0.000004101167,0.00009334016,0.000837912,0.000007018394,0.001879918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09185629,"threshold_uncertainty_score":0.6664672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266463118385534,"score_gpt":0.210264588573036,"score_spread":0.1975999573891806,"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."}}