{"id":"W2898811578","doi":"10.17645/up.v3i4.1645","title":"Automobile Commuting in Suburban High-Rise Condominium Apartments: Examining Transitions toward Suburban Sustainability in Toronto","year":2018,"lang":"en","type":"article","venue":"Urban Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; University of Waterloo; York University; American Association of Geographers","keywords":"Downtown; Metropolitan area; Renting; Geography; Context (archaeology); Sustainability; Census; Population; Economic geography; Apartment; Economic growth; Business; Demographic economics; Economics; Sociology; Demography; Engineering; Civil engineering","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":[0.000373132,0.0003288541,0.0002752374,0.001236835,0.002023012,0.001599441,0.001012565,0.0003396487,0.002928412],"category_scores_gemma":[0.001556161,0.000272628,0.0006187597,0.00412321,0.0008737909,0.0007311674,0.001859082,0.0005234011,0.0003570418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02271569,"about_ca_system_score_gemma":0.01404237,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9795318,"about_ca_topic_score_gemma":0.9938158,"domain_scores_codex":[0.9995145,0.00005506792,0.00002789711,0.00008922751,0.0001216293,0.0001917691],"domain_scores_gemma":[0.9983928,0.0001215312,0.0003423089,0.00007831841,0.0005123988,0.0005527581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005720085,0.00003263673,0.9770327,0.00008885095,0.00006406062,0.0002329217,0.01507369,0.0003755778,0.0003738085,0.0005722578,0.001562344,0.004533884],"study_design_scores_gemma":[0.000001024805,0.00001223575,0.983424,0.00002875979,0.0000137753,0.00002822004,0.01485886,0.0002414013,0.00005035312,0.00002565642,0.001307585,0.000007991714],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954476,0.0002811442,0.00009165454,0.0001472835,0.000005774913,0.00002104856,0.002053439,0.000005670609,0.001946195],"genre_scores_gemma":[0.9970891,0.0002598906,0.000122994,0.00002707128,0.000003096191,0.00001922803,0.001280785,0.000004176513,0.001193681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02271569,"threshold_uncertainty_score":0.1648147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03142912070735596,"score_gpt":0.3332008862564051,"score_spread":0.3017717655490491,"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."}}