{"id":"W4399292525","doi":"10.51889/2959-6270.2024.85.1.006","title":"ЖАҢА БАТЫС ОТБАСЫ: ҚАЗІРГІ ФРАНЦИЯДАҒЫ ГЕНДЕРДІК ДИНАМИКА ЖӘНЕ ФИЛИАЦИЯЛЫҚ ҮЛГІЛЕР ҚАЗІРГІ","year":2024,"lang":"en","type":"article","venue":"Habaršy. A̋leumettanu ža̋ne saâsi ġylymdar seriâsy","topic":"Post-Communist Economic and Political Transition","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"École des Hautes Études en Santé Publique; University of Oxford; University of Ottawa","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001612916,0.0002916867,0.0001846791,0.001159547,0.003166933,0.006118239,0.0004484278,0.001258075,0.01178731],"category_scores_gemma":[0.003101666,0.0002608093,0.0002063782,0.001404179,0.007009947,0.002340933,0.001604282,0.001919098,0.003603548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004055222,"about_ca_system_score_gemma":0.003612565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01069536,"about_ca_topic_score_gemma":0.01132528,"domain_scores_codex":[0.9979194,0.0007611869,0.00007120906,0.0003349066,0.0007007034,0.0002126429],"domain_scores_gemma":[0.998843,0.0004570236,0.0001573467,0.0001516159,0.0002474879,0.0001436905],"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":[0.00002327991,0.00001651051,0.0005794015,0.00008425263,0.000004356634,0.0003716341,0.009710042,0.0001879851,0.0009655085,0.9235825,0.009589423,0.05488513],"study_design_scores_gemma":[0.00000761844,0.00002150326,0.002023403,0.0001531057,0.000007867806,0.0005219742,0.00310506,0.0002020396,0.0008769783,0.1194621,0.8735965,0.00002181491],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04381799,0.02921471,0.0265945,0.01908304,0.001515669,0.0001067113,0.00022157,0.0001727819,0.879273],"genre_scores_gemma":[0.814656,0.01490077,0.01576272,0.001457395,0.0008945336,0.0001858975,0.0001377349,0.0001931433,0.1518118],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01178731,"threshold_uncertainty_score":0.03943253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02363992040039643,"score_gpt":0.3290802220136149,"score_spread":0.3054403016132184,"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."}}