{"id":"W2187470429","doi":"","title":"DOWNTOWN SUBURBIA? ASSESSING THE DEVELOPMENT OF A SUBURBAN MIXED-USE CENTRE","year":2014,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downtown; Environmental planning; Geography; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004429866,0.0001545829,0.0001532387,0.001036412,0.001054536,0.002360685,0.0005670781,0.0002834988,0.002199067],"category_scores_gemma":[0.002078102,0.0001538244,0.0001128924,0.00147926,0.0009932877,0.0008759571,0.001584527,0.00026568,0.0002243958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004185142,"about_ca_system_score_gemma":0.002012978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3179894,"about_ca_topic_score_gemma":0.6565725,"domain_scores_codex":[0.9995257,0.0001557735,0.00001486263,0.00006228347,0.0001335021,0.0001079621],"domain_scores_gemma":[0.998778,0.0001745533,0.0002776445,0.00005212414,0.0004288893,0.0002887448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001604843,0.00007644753,0.9274977,0.0001069477,0.00004104199,0.001072985,0.03495782,0.001322451,0.001659073,0.004177894,0.001085722,0.02784136],"study_design_scores_gemma":[0.000002621549,0.00009824691,0.8905988,0.00008423901,0.00001634147,0.0002487635,0.09847768,0.001296591,0.0006849523,0.0002678767,0.008207282,0.0000165412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939679,0.00007625689,0.0001456518,0.00006885985,0.000001993048,0.00001679686,0.0001157876,0.000002735525,0.005603942],"genre_scores_gemma":[0.9990877,0.00005518706,0.00021556,0.000006994241,4.410773e-7,0.000005668108,0.00005625181,0.00000147326,0.0005707834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3179894,"threshold_uncertainty_score":0.6322771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268114425616591,"score_gpt":0.219169372544479,"score_spread":0.206488228288313,"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."}}