{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001014014,0.00009341826,0.0002788398,0.00008503866,0.00006780265,0.0000120854,0.00008447607,0.00004247893,0.00006333465],"category_scores_gemma":[0.00002815076,0.0001004909,0.00002908611,0.00006653398,0.00002822738,0.00003958272,0.00003241715,0.00004224776,0.000006975051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001510136,"about_ca_system_score_gemma":0.00008866785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6265017,"about_ca_topic_score_gemma":0.8392656,"domain_scores_codex":[0.9992692,0.000003602866,0.0003306795,0.0002170123,0.00003332897,0.0001461042],"domain_scores_gemma":[0.9995911,0.00001510176,0.0002001119,0.0001142113,0.00001502704,0.00006450469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003032941,0.00008221969,0.7065012,0.00007619187,0.0001441442,0.000004387312,0.001097952,0.0008188155,0.00003803556,0.263373,0.00007311097,0.02776058],"study_design_scores_gemma":[0.0002939988,0.00002159521,0.978456,0.00001401777,0.000004475784,9.225164e-7,0.000046439,0.0005469244,0.0003295313,0.0176397,0.002481674,0.0001646989],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944506,0.0003710736,0.002289096,0.0009423454,0.000106215,0.00006320207,0.00003297778,0.000006775869,0.00173767],"genre_scores_gemma":[0.9989655,0.00005299581,0.0003565754,0.000148344,0.00004118062,0.000006330079,0.00003058135,0.000007169392,0.0003912934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2719548,"threshold_uncertainty_score":0.4097902,"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."}}