{"id":"W7017797390","doi":"","title":"Cities for Seven Generations: Recognizing, Reconciling and Reimagining our past, present, and future in Canadian urban centres","year":2023,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Politics; Damages; Energy (signal processing); Social research; Social structure","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":[0.005676019,0.0007866275,0.0005247336,0.002606974,0.0647391,0.02118035,0.004145074,0.002818381,0.007348073],"category_scores_gemma":[0.00742594,0.0005636291,0.0007668399,0.004854263,0.0258552,0.007058312,0.01628957,0.004997455,0.0004314361],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2229646,"about_ca_system_score_gemma":0.2606115,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941764,"about_ca_topic_score_gemma":0.9983369,"domain_scores_codex":[0.9924259,0.002105003,0.0001363486,0.0005757992,0.001663273,0.003093579],"domain_scores_gemma":[0.9945903,0.0006074953,0.0002404012,0.0002853795,0.001567535,0.00270887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006889677,0.00005665862,0.02474648,0.000228785,0.00004583947,0.001137136,0.7023603,0.0007579452,0.0004670429,0.1171364,0.0694631,0.0835314],"study_design_scores_gemma":[0.000005909238,0.00001824324,0.01351681,0.000277389,0.00003079329,0.0001437339,0.6670287,0.0003982085,0.0002173535,0.006453374,0.3118027,0.0001066611],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5463602,0.01500136,0.003911935,0.184211,0.001702368,0.0002393715,0.0007562723,0.0002311259,0.2475863],"genre_scores_gemma":[0.9553632,0.004835059,0.002933315,0.005095955,0.00007018293,0.0000605975,0.0001946069,0.0001269372,0.03132031],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2229646,"threshold_uncertainty_score":0.9012509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689992951351537,"score_gpt":0.1788715857003167,"score_spread":0.1619716561868013,"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."}}