{"id":"W4392884224","doi":"10.24908/cpp-apc.v2024i1.17535","title":"The Push and Pull of Technology and its Impacts on Planning in Canadian Cities","year":2024,"lang":"en","type":"article","venue":"Canadian Planning and Policy / Aménagement et politique au Canada","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Geography; Political science","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":[0.001857287,0.0004485116,0.0004842703,0.003280868,0.00947605,0.008466661,0.0012082,0.001052127,0.008262762],"category_scores_gemma":[0.01012531,0.0003070312,0.0005784447,0.01269482,0.006110038,0.002474352,0.004303072,0.002075084,0.0002920706],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1500993,"about_ca_system_score_gemma":0.1372037,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960489,"about_ca_topic_score_gemma":0.9978033,"domain_scores_codex":[0.9962323,0.000518062,0.00007291503,0.0001854821,0.00174137,0.001249789],"domain_scores_gemma":[0.994554,0.001132602,0.0003673162,0.0001347636,0.002649833,0.001161415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002666828,0.0001100139,0.1759202,0.0006424849,0.0002514334,0.0005018906,0.03642964,0.01604449,0.0005197994,0.4687351,0.1143248,0.1862534],"study_design_scores_gemma":[0.00003907301,0.00006747716,0.525137,0.001154456,0.000249294,0.0001160649,0.09229173,0.006247319,0.0005462625,0.05570976,0.3181584,0.0002832891],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4366068,0.02968214,0.00196257,0.1167817,0.0006265191,0.00007092857,0.003173506,0.00009482796,0.411001],"genre_scores_gemma":[0.974614,0.01234284,0.0005410702,0.001077424,0.00006894721,0.00001825693,0.0003476054,0.00004813557,0.01094175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1500993,"threshold_uncertainty_score":0.9857644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02247554541165401,"score_gpt":0.2952721529122736,"score_spread":0.2727966075006196,"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."}}