{"id":"W4243555573","doi":"10.1093/oso/9780190871840.001.0001","title":"Nationalizing Sex","year":2019,"lang":"en","type":"book","venue":"","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fertility; Government (linguistics); Politics; Duty; Democracy; Control (management); Authoritarianism; Reproduction; Political science; Meaning (existential); Humanity; Political economy; State (computer science); Development economics; Economic growth; Sociology; Economics; Population; Law; Psychology; Demography; Management","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":[0.0003378899,0.0002039169,0.0002010279,0.000616714,0.001728461,0.002657328,0.000320697,0.0005629038,0.03656636],"category_scores_gemma":[0.00057011,0.00008614075,0.0001770116,0.0006885179,0.002145631,0.001841896,0.001454645,0.001444978,0.006416135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461319,"about_ca_system_score_gemma":0.001431282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005052106,"about_ca_topic_score_gemma":0.01205504,"domain_scores_codex":[0.9997535,0.00006280399,0.000007233657,0.00004614551,0.00007905676,0.00005123484],"domain_scores_gemma":[0.9998581,0.00004127625,0.00001264642,0.00002530659,0.00003561093,0.00002698354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001138865,0.0000167348,0.0009233155,0.0000717903,0.000002764274,0.00007297398,0.005345446,0.00006921714,0.0001831692,0.7294158,0.1456461,0.1182414],"study_design_scores_gemma":[0.00000105069,0.000006488403,0.0005772496,0.0000985641,0.00000127052,0.00007239459,0.00119787,0.0000187397,0.0001003498,0.01177425,0.9861499,0.000001973337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002382879,0.006005134,0.0003033134,0.00365299,0.0009033126,0.000009748042,0.0001059101,0.00003169337,0.9866051],"genre_scores_gemma":[0.07220582,0.01284148,0.0006178218,0.003614401,0.0005495723,0.00004349422,0.0002879519,0.00007164852,0.9097678],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03656636,"threshold_uncertainty_score":0.1223266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05175544221165401,"score_gpt":0.3207825884514954,"score_spread":0.2690271462398414,"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."}}