{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001512315,0.00007758007,0.0000816578,0.00002206855,0.0002314901,0.00003945531,0.0001214766,0.00006253208,0.0003812636],"category_scores_gemma":[0.00003535502,0.00002530044,0.00005821405,0.0003770835,0.00006578911,0.0001308262,0.00004239872,0.00003387032,0.000001086403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000876395,"about_ca_system_score_gemma":0.000005170534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002926766,"about_ca_topic_score_gemma":0.001148819,"domain_scores_codex":[0.9994134,0.000016214,0.0001167496,0.0001885266,0.00004214278,0.0002229635],"domain_scores_gemma":[0.999698,0.00006742853,0.00002395604,0.00004048123,0.00006598821,0.0001041434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009620871,0.00008483767,0.4759245,0.000005357619,0.00001278882,1.326702e-7,0.00016314,1.402193e-9,0.005623278,0.08566369,0.01069404,0.4218186],"study_design_scores_gemma":[0.00005435764,0.00006864873,0.9338481,4.12215e-7,0.000003773735,0.000001186145,0.0001547418,0.000002869329,0.0001375682,0.01645575,0.04918179,0.00009076476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9065503,0.0000398008,0.00001068046,0.07914173,0.00001886436,0.0001561304,0.00002467804,0.00008772656,0.01397007],"genre_scores_gemma":[0.9960429,0.00002939579,0.0003878023,0.0008119278,0.00003205393,0.0000644645,0.00004134202,4.05482e-7,0.002589698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4579236,"threshold_uncertainty_score":0.4174569,"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."}}