{"id":"W2965089415","doi":"10.1002/9781119085621.wbefs388","title":"Censuses of Population","year":2016,"lang":"en","type":"other","venue":"Encyclopedia of Family Studies","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Population; Unrest; Politics; Census; Modernization theory; China; Scholarship; Colonialism; Geography; Empire; Genealogy; Political science; Sociology; History; Demography; Law; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003372536,0.0007835403,0.0005614316,0.008071022,0.001025366,0.002877984,0.0009608265,0.0005478512,0.0401389],"category_scores_gemma":[0.0220601,0.0003212007,0.0003727248,0.01695103,0.0007471407,0.003161181,0.001646308,0.001550604,0.01568138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002695835,"about_ca_system_score_gemma":0.004509536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02337862,"about_ca_topic_score_gemma":0.01443686,"domain_scores_codex":[0.9961883,0.001017912,0.0004413315,0.0005019255,0.001657654,0.0001928242],"domain_scores_gemma":[0.993435,0.001546555,0.0007755483,0.00106199,0.002933509,0.0002473429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004587165,0.00002644939,0.009177696,0.0005763993,0.00003727028,0.0001015127,0.001667597,0.001591081,0.0001954492,0.2978725,0.5239328,0.1647754],"study_design_scores_gemma":[0.000007334145,0.00001349396,0.01070417,0.0002741916,0.000006798908,0.0001221061,0.0006404152,0.0007171438,0.0001331651,0.02081488,0.9665489,0.00001741691],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01707722,0.01478302,0.05653796,0.006444403,0.003459617,0.001606885,0.3620237,0.00140396,0.5366633],"genre_scores_gemma":[0.2389078,0.05740363,0.07521149,0.00192146,0.002560312,0.004072531,0.3212358,0.001216318,0.2974706],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0401389,"threshold_uncertainty_score":0.134278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0848852394898658,"score_gpt":0.3842394958052789,"score_spread":0.2993542563154131,"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."}}