{"id":"W4408907351","doi":"10.24908/cpp-apc.v2025i1.18138","title":"Planners’ Perspectives on British Columbia’s Small and Mid-sized Downtowns: Strengths, Weaknesses, Challenges","year":2025,"lang":"en","type":"article","venue":"Canadian Planning and Policy / Aménagement et politique au Canada","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Strengths and weaknesses; Geography; Political science; Regional science; Environmental planning; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003799251,0.0005613466,0.0004258097,0.002349356,0.02425443,0.01157927,0.002074423,0.002107939,0.006766894],"category_scores_gemma":[0.006914835,0.0004838698,0.0003004616,0.006727764,0.009077476,0.002125893,0.005627511,0.004688276,0.0002882663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1064482,"about_ca_system_score_gemma":0.1983202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9912201,"about_ca_topic_score_gemma":0.9969835,"domain_scores_codex":[0.9956858,0.0009235957,0.00008762711,0.0002250932,0.0007696451,0.002308244],"domain_scores_gemma":[0.992178,0.001229227,0.0002856776,0.0001228396,0.002509786,0.003674468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001206919,0.0001242159,0.07480511,0.0007491395,0.00006718108,0.005954402,0.3756115,0.002523901,0.001640487,0.1205867,0.3027319,0.1150848],"study_design_scores_gemma":[0.00001101571,0.00002561567,0.0437214,0.0005292809,0.00002154885,0.000227186,0.5785997,0.0003096399,0.0001731945,0.003394452,0.3728696,0.000117458],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3809938,0.01025104,0.001373341,0.3820182,0.0006369909,0.0003056562,0.001092697,0.000103253,0.223225],"genre_scores_gemma":[0.9309288,0.007774096,0.001688778,0.01835519,0.00006124067,0.0001124217,0.0002719432,0.00005234851,0.04075513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1064482,"threshold_uncertainty_score":0.772339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01518895719963296,"score_gpt":0.2750486917934064,"score_spread":0.2598597345937734,"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."}}