{"id":"W2801042578","doi":"10.5539/ijsp.v7n3p94","title":"The Influence of the Two-child Policy on China’s Population Projection","year":2018,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Global Health Care Issues","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analytic hierarchy process; China; Population; Population projection; Entropy (arrow of time); Econometrics; Computer science; Operations research; Economics; Mathematics; Political science; Population growth; Sociology; Demography; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001200886,0.00007179957,0.0001175035,0.0000537939,0.0004954775,0.00001546624,0.0002590494,0.00004657933,0.00001370241],"category_scores_gemma":[0.002694589,0.00003856865,0.00003175293,0.0001044455,0.0002025963,0.00008015579,0.00008042108,0.0003546653,0.000004620242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002656794,"about_ca_system_score_gemma":0.0003470129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00299372,"about_ca_topic_score_gemma":0.001309692,"domain_scores_codex":[0.9982447,0.0003609108,0.0006676518,0.00008905497,0.0004999793,0.000137671],"domain_scores_gemma":[0.9968988,0.0004748324,0.0008079078,0.0001432337,0.001624183,0.00005109904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001051196,0.0001407218,0.4451598,0.0001458304,0.00008344874,0.000001851238,0.003200115,0.000408853,0.00005808255,0.5203955,0.003083935,0.02627068],"study_design_scores_gemma":[0.0003063968,0.0001967746,0.8774421,0.0002335847,0.000006134645,0.00001017651,0.00006920988,0.000123042,0.00001561912,0.1175161,0.004050133,0.00003076187],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887363,0.00003370484,0.0003888243,0.007340421,0.001452107,0.0003625594,0.0001374197,0.000004637113,0.001544042],"genre_scores_gemma":[0.9977396,0.00007063855,0.001068035,0.000394684,0.0006736775,0.000004105885,0.000002272617,0.000004711986,0.00004232153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4322823,"threshold_uncertainty_score":0.4525629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02576915683602754,"score_gpt":0.4418437084255361,"score_spread":0.4160745515895085,"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."}}