{"id":"W7095821718","doi":"","title":"Demographic Trends and Implications for Public PolicyThis Page Should Be","year":2011,"lang":"en","type":"article","venue":"","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Entitlement (fair division); Population; Public policy; Settlement (finance); Social policy; Population control; Rural area; Birth rate","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":[0.001728924,0.0002593038,0.0003081118,0.002211979,0.001860667,0.003318319,0.0007639356,0.001525863,0.08196884],"category_scores_gemma":[0.006778715,0.0001707816,0.0003070646,0.003793513,0.0008464153,0.002039381,0.001241702,0.001762149,0.01090367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008581318,"about_ca_system_score_gemma":0.01407676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2879423,"about_ca_topic_score_gemma":0.3456641,"domain_scores_codex":[0.9989997,0.0002404969,0.00005608637,0.00005651802,0.0002130477,0.000434148],"domain_scores_gemma":[0.9965077,0.0009902512,0.0003578391,0.00007996403,0.001300819,0.0007634974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005290539,0.00009767199,0.01950805,0.0004664414,0.00001145045,0.0002780283,0.001587123,0.0005144163,0.0002046189,0.01593154,0.8036886,0.1576592],"study_design_scores_gemma":[0.00001866308,0.00005356118,0.09351268,0.00159479,0.00002382684,0.0001696992,0.009156164,0.0003391176,0.000170976,0.005795746,0.8891169,0.00004795565],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02242664,0.01361371,0.0003387648,0.7653965,0.003965958,0.00008945694,0.009152012,0.0002899288,0.184727],"genre_scores_gemma":[0.3161017,0.09403248,0.001888443,0.09809284,0.004287962,0.0004165845,0.01395948,0.0002316759,0.4709889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2879423,"threshold_uncertainty_score":0.5725327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1106714950094423,"score_gpt":0.2759854922547595,"score_spread":0.1653139972453172,"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."}}