{"id":"W6990187737","doi":"","title":"Crossing Paths Crossing Perspectives: Urban Studies in British Columbia and Quebec","year":2023,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Regional studies; Census; Urban planning; Government (linguistics); Metropolitan area","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002101705,0.0004477602,0.0006324059,0.004557476,0.03848676,0.009970641,0.002238687,0.001677381,0.01131866],"category_scores_gemma":[0.005393744,0.0005053959,0.0003068779,0.0152319,0.007646583,0.003662388,0.004736656,0.003180038,0.0004069453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1100357,"about_ca_system_score_gemma":0.09553006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979114,"about_ca_topic_score_gemma":0.9995325,"domain_scores_codex":[0.9976719,0.0008189537,0.00004900679,0.0001920533,0.000296054,0.000972093],"domain_scores_gemma":[0.9954757,0.001267406,0.0003857051,0.0001346838,0.001445728,0.001290771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000105634,0.0001297439,0.07355281,0.0001630964,0.00003632164,0.0008721934,0.8654932,0.0003463506,0.0002373169,0.01631817,0.01193797,0.03080729],"study_design_scores_gemma":[0.0000042724,0.00001247624,0.05523339,0.0001579143,0.00001277244,0.00004990807,0.917662,0.0001073842,0.00004573004,0.0003619513,0.02632917,0.0000230627],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9341984,0.004311048,0.000379821,0.00736874,0.00008712128,0.00006904288,0.0005770584,0.00001635032,0.05299257],"genre_scores_gemma":[0.9832669,0.001671192,0.0002211565,0.0004697678,0.00001146022,0.00003857084,0.0001738686,0.0000207191,0.01412632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1100357,"threshold_uncertainty_score":0.7983689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0275506635273256,"score_gpt":0.2571477021564552,"score_spread":0.2295970386291296,"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."}}