{"id":"W3199112799","doi":"10.1080/02697459.2021.1979786","title":"Smart Growth in Canada’s Provincial North","year":2021,"lang":"en","type":"article","venue":"Planning Practice and Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; University of Northern British Columbia","keywords":"Smart growth; Neighbourhood (mathematics); Sustainability; Context (archaeology); Urban sustainability; Smart city; Sustainable growth rate; Growth management; Geography; Capital (architecture); Economic geography; Capital city; Regional science; Environmental planning; Urban planning; Economic growth; Business; Economics; Land use; Internet of Things; Engineering; Civil engineering; Computer science; Ecology; Computer security","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":[0.0006118215,0.000237462,0.0003465442,0.001057892,0.01338095,0.003064158,0.0008916834,0.0004453453,0.005776803],"category_scores_gemma":[0.00178551,0.0002987974,0.0002501619,0.003169145,0.002170218,0.0006660767,0.002139548,0.00109591,0.0005109322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09565068,"about_ca_system_score_gemma":0.1622267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9983885,"about_ca_topic_score_gemma":0.9997242,"domain_scores_codex":[0.9990172,0.00006820219,0.00001579346,0.00009850381,0.0002469483,0.0005531756],"domain_scores_gemma":[0.997758,0.0001619352,0.00007338701,0.00009444896,0.00101843,0.0008939089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004865499,0.0003097723,0.4576907,0.0005632135,0.00009554315,0.004209519,0.06714329,0.004832929,0.002536552,0.0567342,0.1164298,0.2889679],"study_design_scores_gemma":[0.00003996157,0.00008749335,0.6375254,0.0003383807,0.00004233195,0.0004413057,0.1102905,0.003426482,0.0009367471,0.003183739,0.2435665,0.0001211459],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8725232,0.001076745,0.0007988458,0.007923231,0.000077875,0.0001339889,0.002557078,0.0001426159,0.1147663],"genre_scores_gemma":[0.9527481,0.0006556798,0.001068564,0.0007473823,0.000006751096,0.00004841081,0.0008358782,0.00003610141,0.0438531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09565068,"threshold_uncertainty_score":0.6939975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08596645768354944,"score_gpt":0.4059902330930386,"score_spread":0.3200237754094892,"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."}}