{"id":"W2349382782","doi":"","title":"Changes of Canada′s Population Development and Spatial Difference","year":2004,"lang":"en","type":"article","venue":"Shijie dili yanjiu","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Population; Population growth; Geography; Population decline; Socioeconomics; Demography; Economic growth; Regional science; Sociology; Economics","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":[0.0003664811,0.0001868381,0.0002200429,0.002532703,0.000771959,0.001257981,0.0003626063,0.0001731722,0.002220422],"category_scores_gemma":[0.002074348,0.0001072791,0.0004182415,0.006673823,0.0005225617,0.0004303222,0.0006451274,0.0004389738,0.0001639017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01814592,"about_ca_system_score_gemma":0.01698892,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9797983,"about_ca_topic_score_gemma":0.9765322,"domain_scores_codex":[0.9994346,0.00003593619,0.00002370286,0.00008857893,0.0002387074,0.0001783068],"domain_scores_gemma":[0.998605,0.00008615442,0.0001592368,0.00004419937,0.0009661877,0.0001392721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005676693,0.00001926242,0.9347201,0.00008008009,0.0001418431,0.0001971736,0.0008952634,0.00533062,0.0002985339,0.009385614,0.009794067,0.03908063],"study_design_scores_gemma":[0.000002759556,0.000008290238,0.9771248,0.00002091417,0.00002960982,0.00006344551,0.0009968058,0.004105419,0.0002216268,0.0003125773,0.01709943,0.00001435391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9351636,0.003220062,0.002123224,0.002038325,0.00006470884,0.0000445807,0.02364006,0.0001125881,0.03359284],"genre_scores_gemma":[0.9911188,0.0009171111,0.0005457959,0.00007807861,0.00000933883,0.000008485556,0.003828179,0.000009008652,0.003485196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02020168,"threshold_uncertainty_score":0.1316585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02469713509699608,"score_gpt":0.1789156695555762,"score_spread":0.1542185344585801,"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."}}