{"id":"W7008549395","doi":"","title":"The changing face of Canada: the uneven geographies of population and social change","year":2007,"lang":"en","type":"other","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Face (sociological concept); Population; Social change; Field (mathematics); Climate change; Population growth; Indigenous; Perspective (graphical); Inequality","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":[0.000767605,0.0003681654,0.0004101932,0.003487446,0.007504391,0.006901919,0.00142035,0.001319549,0.04008987],"category_scores_gemma":[0.004011973,0.0002450274,0.0003507178,0.009591298,0.001837098,0.001522095,0.001934919,0.001319319,0.002026294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06708048,"about_ca_system_score_gemma":0.1315187,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968265,"about_ca_topic_score_gemma":0.9990652,"domain_scores_codex":[0.9988416,0.0000683052,0.00001460847,0.00005537462,0.0006196343,0.0004004689],"domain_scores_gemma":[0.9981591,0.0001641743,0.00005538425,0.00008033959,0.00110927,0.0004318545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004996386,0.00003148769,0.01340112,0.0001632956,0.00001694588,0.0002062278,0.004972737,0.0008702599,0.0001182797,0.08364409,0.7394547,0.1570709],"study_design_scores_gemma":[0.00001006224,0.000007993734,0.06927212,0.0003134365,0.00002903892,0.000101118,0.01535483,0.0009312535,0.0002529236,0.00950798,0.9041713,0.0000480663],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03382107,0.008553509,0.0008999204,0.06562698,0.0005997423,0.0001086151,0.02033839,0.0002644773,0.8697874],"genre_scores_gemma":[0.3005132,0.01688473,0.002913037,0.00390029,0.0001869019,0.00008860177,0.007596535,0.000612479,0.6673041],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06708048,"threshold_uncertainty_score":0.4867052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06546479424752047,"score_gpt":0.3326047326525883,"score_spread":0.2671399384050678,"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."}}