{"id":"W4283733524","doi":"10.24908/cppapc.v2022i1.15291","title":"Good Planning or Good Intentions","year":2022,"lang":"en","type":"article","venue":"Canadian Planning and Policy / Aménagement et politique au Canada","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Statutory law; Baby boom; Plan (archaeology); Boom; Population; Population ageing; Urban planning; Economic growth; Business; Geography; Political science; Sociology; Demography; Engineering; Economics; Law; Civil engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00638413,0.0004479083,0.0004005414,0.001176722,0.008519605,0.007084541,0.00122067,0.001977519,0.01731744],"category_scores_gemma":[0.02155042,0.0002607263,0.0003805295,0.002153581,0.01856099,0.004054582,0.003323124,0.003148388,0.002094525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01919345,"about_ca_system_score_gemma":0.08725508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8028752,"about_ca_topic_score_gemma":0.878346,"domain_scores_codex":[0.9942002,0.001658714,0.0001697163,0.0005256763,0.001680925,0.001764746],"domain_scores_gemma":[0.9855769,0.002788359,0.00104951,0.001658066,0.00391261,0.005014484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004715137,0.000122394,0.02993461,0.0004760139,0.00004213987,0.0003761675,0.04784288,0.0009039285,0.000203321,0.5622802,0.2275462,0.130225],"study_design_scores_gemma":[0.00002334756,0.00003496897,0.02519356,0.001529469,0.00003551389,0.0002156782,0.06242011,0.0005318564,0.0002498461,0.1039985,0.8056726,0.00009462265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04124456,0.005344057,0.009771815,0.2080426,0.0009131725,0.0002744929,0.001321439,0.0003299752,0.732758],"genre_scores_gemma":[0.8917893,0.006182659,0.008253052,0.02400124,0.0001699187,0.0001732748,0.0006773084,0.0001957765,0.06855758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1971248,"threshold_uncertainty_score":0.3965715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721541208881797,"score_gpt":0.3152118671616756,"score_spread":0.2879964550728576,"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."}}