{"id":"W4387478362","doi":"10.51889/2959-6017.2023.77.2.030","title":"ҚЫЗЫЛОРДАҚАЛАСЫТҰРҒЫНДАРЫНЫҢТАБЫСЫМЕНПӘТЕР МӘСЕЛЕСІ","year":2023,"lang":"en","type":"article","venue":"Habaršy. Tarih ža̋ne saâsi-a̋leumettìk ġylymdar seriâsy","topic":"Global Political and Economic Relations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Everyday life; Population; Apartment; Social history (medicine); Quarter (Canadian coin); Capital (architecture); Historiography; The Republic; Order (exchange); Economic history; Economic growth; Work (physics); State (computer science); Standard of living; Political science; History; Sociology; Law; Business; Ancient history; Economics; Finance; Demography; Archaeology","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001528181,0.0005510162,0.0007320875,0.0004496608,0.001844845,0.0004334868,0.001057283,0.0005257975,0.004394663],"category_scores_gemma":[0.0009673368,0.0005826238,0.0005150698,0.001815878,0.0009721302,0.001025699,0.0003576634,0.0006168383,0.02219133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005123319,"about_ca_system_score_gemma":0.0006274224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008988928,"about_ca_topic_score_gemma":0.002402786,"domain_scores_codex":[0.9944252,0.0004139722,0.0009567521,0.001035141,0.0008771272,0.00229177],"domain_scores_gemma":[0.9970281,0.0005308092,0.0002362243,0.0008712554,0.0002322265,0.001101362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006051691,0.0002666634,0.01134704,0.00007580905,0.0002899314,0.0002359644,0.006693431,0.0004963769,0.0005936845,0.7793414,0.1880481,0.01255107],"study_design_scores_gemma":[0.0008415179,0.0001067647,0.02833147,0.00006724464,0.0001001603,0.00002058586,0.004858525,0.0007109944,0.0001987304,0.05298539,0.9107788,0.0009997952],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3892249,0.0003298444,0.0002638355,0.02128936,0.003352311,0.0008659487,0.0003205409,0.002029946,0.5823233],"genre_scores_gemma":[0.9467282,0.0003922752,0.0008417977,0.002275237,0.001744423,0.0001142109,0.0002329283,0.0001045329,0.04756635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.726356,"threshold_uncertainty_score":0.9996625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03395866883649246,"score_gpt":0.3163030956321128,"score_spread":0.2823444267956203,"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."}}