{"id":"W4210677838","doi":"10.32920/19027556","title":"Exploring Indigenous newcomer relations in the City of Toronto: changing demographics, reconciliation and the capacity of city planning","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Calgary","funders":"","keywords":"Indigenous; Demographics; Commission; Local government; Recreation; Public administration; Public relations; Geography; Sociology; Political science; Economic growth; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.004817537,0.0004419081,0.0004665745,0.001734276,0.0335473,0.0105342,0.002468806,0.001391455,0.006142297],"category_scores_gemma":[0.005514489,0.0005485705,0.0003840022,0.003178885,0.02393228,0.003780401,0.01066347,0.003463733,0.0002340771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09038135,"about_ca_system_score_gemma":0.06407919,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.919713,"about_ca_topic_score_gemma":0.9715112,"domain_scores_codex":[0.9941601,0.002820794,0.0001066836,0.0003403415,0.0006258949,0.001946262],"domain_scores_gemma":[0.9947814,0.00165394,0.0004679277,0.0002489859,0.0007564584,0.002091228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000006267938,0.000004765059,0.001969865,0.00003444388,0.000002689884,0.0004020938,0.9921756,0.00003548591,0.00007297307,0.002853588,0.0008431879,0.001598948],"study_design_scores_gemma":[7.280707e-7,0.000004557552,0.003050925,0.00003332852,0.000002703295,0.00003574871,0.985327,0.00002458607,0.00002114636,0.0001517007,0.01134137,0.000006312092],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9264928,0.002274583,0.0007404688,0.01298139,0.0001700115,0.0001353002,0.0001491621,0.00002407372,0.05703227],"genre_scores_gemma":[0.9915945,0.0009542934,0.000282354,0.0003965428,0.00001914461,0.00004200685,0.00004367605,0.00001719275,0.006650301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09038135,"threshold_uncertainty_score":0.6557657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1482378554770506,"score_gpt":0.3362349261966076,"score_spread":0.187997070719557,"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."}}