{"id":"W4394809208","doi":"10.31166/voprosyistorii202210statyi55","title":"Historical prerequisites for the formation of the Kazakhstan “model” of fertility: mid-20th – early 21st centuries","year":2022,"lang":"en","type":"article","venue":"OOO Zhurnal Voprosy Istorii","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kazakh; Urbanization; Fertility; Context (archaeology); Ethnic group; Politics; Quarter (Canadian coin); Geography; Period (music); Central asia; Political science; History; Ethnology; Ancient history; Development economics; Economic growth; Demography; Sociology; Population; Economics; Archaeology; Law; Art","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001294791,0.0001256956,0.0002428411,0.00005912075,0.001562966,0.00003369457,0.0008001843,0.00005390219,0.00009543252],"category_scores_gemma":[0.0001936577,0.00008938985,0.000265367,0.0002686544,0.000305815,0.000283731,0.0001710047,0.0002084653,0.000001186415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002399303,"about_ca_system_score_gemma":0.0004199956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001027803,"about_ca_topic_score_gemma":0.0003262791,"domain_scores_codex":[0.9981017,0.0001624109,0.0005185927,0.0001863252,0.0007433195,0.0002876117],"domain_scores_gemma":[0.9986334,0.0003212008,0.0005330577,0.0002768594,0.0001720002,0.00006347458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001786255,0.001138441,0.1494349,0.0004304695,0.0006076395,0.00000204522,0.3597301,0.005149912,0.004562187,0.3424085,0.1109181,0.02383153],"study_design_scores_gemma":[0.000807975,0.0001806276,0.02545655,0.0000262095,0.0001023783,0.000002183283,0.008229036,0.0006798859,0.001130131,0.01793306,0.9451404,0.0003115305],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543742,0.002256786,0.00139338,0.01849185,0.004693399,0.001545063,0.0001918065,0.00007123448,0.01698232],"genre_scores_gemma":[0.9887017,0.00004633181,0.0002817995,0.00007914846,0.0001330797,0.0001083522,0.000004721568,0.00001381789,0.01063107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8342224,"threshold_uncertainty_score":0.9997368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04451483652466668,"score_gpt":0.2654828845592326,"score_spread":0.220968048034566,"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."}}