{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006276027,0.0001845816,0.0001933614,0.0004015493,0.003291052,0.0001326604,0.0002640182,0.00004344297,0.0002490377],"category_scores_gemma":[0.0002423445,0.0002004466,0.00003933179,0.0004457395,0.0001121075,0.0001372281,0.00009213255,0.000277831,0.000001429015],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002183501,"about_ca_system_score_gemma":0.01475293,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999764,"about_ca_topic_score_gemma":0.999897,"domain_scores_codex":[0.9977815,0.0002990222,0.0002372991,0.000293591,0.0004500098,0.0009386115],"domain_scores_gemma":[0.9987813,0.0001703472,0.0001018058,0.0001724326,0.00005673109,0.0007173445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007463039,0.00001213233,0.05074485,0.00002901806,0.0001033756,0.0002450888,0.2030893,0.0003684539,0.00000114002,0.5055474,0.239584,0.000267769],"study_design_scores_gemma":[0.0001870201,0.00003941073,0.06404053,0.00003609872,0.00002291785,0.00001052996,0.02540573,0.00002071843,0.000001458879,0.0008673132,0.9091157,0.000252575],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2831606,0.0007714041,0.00006654474,0.06756484,0.001205581,0.000632942,0.0009732632,0.0001442894,0.6454805],"genre_scores_gemma":[0.9676668,0.00005356267,0.00003031187,0.009851296,0.0006190991,0.00009130067,0.00006855043,0.00002024729,0.0215988],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6845062,"threshold_uncertainty_score":0.9980065,"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."}}