{"id":"W2063924767","doi":"10.1080/00420980500409334","title":"Measuring the Accessibility of Services and Facilities for Residents of Public Housing in Montreal","year":2006,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Business; Public transport; Public housing; Service (business); Public service; Central city; Economic growth; Geography; Transport engineering; Regional science; Public administration; Marketing; Political science; Economics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003626998,0.0002013992,0.00009269837,0.001311025,0.0006232157,0.0005056884,0.0004030107,0.0001275654,0.002946702],"category_scores_gemma":[0.001712507,0.00009742317,0.0002509352,0.001552053,0.0002904072,0.0002944999,0.0004641807,0.0001657089,0.0001668261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004586726,"about_ca_system_score_gemma":0.002117565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8498983,"about_ca_topic_score_gemma":0.9252144,"domain_scores_codex":[0.9997078,0.00004533353,0.00001744656,0.00003680599,0.0001204389,0.00007217454],"domain_scores_gemma":[0.9993221,0.00005752184,0.0002099103,0.00002120447,0.0002570094,0.0001323189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007746452,0.00004232409,0.9798405,0.00004675794,0.00006797571,0.00008740782,0.001098152,0.0008212736,0.001000776,0.0003840838,0.001138641,0.01539481],"study_design_scores_gemma":[0.000002154334,0.0000273104,0.998417,0.000005241602,0.000009116659,0.00001777939,0.0004458076,0.0003597085,0.0001086531,0.00001734341,0.0005842564,0.000005444637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949034,0.00008576536,0.0002062142,0.00005597244,0.000002410178,0.00003219279,0.00118868,0.0000154963,0.003509898],"genre_scores_gemma":[0.9985226,0.00005679591,0.0002843115,0.000004641362,0.000001790297,0.00001382081,0.0004228308,0.00000134601,0.0006918783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1501017,"threshold_uncertainty_score":0.3019714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0885653532889582,"score_gpt":0.3193765519327491,"score_spread":0.2308111986437908,"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."}}