{"id":"W4396640278","doi":"10.52058/2786-6025-2024-4(32)-1192-1205","title":"МЕТОД ІНТЕРПОЛЯЦІЇ ДЛЯ ПРОГНОЗУВАННЯ МЕТРИК ВИКОРИСТАННЯ ХМАРНИХ ОБЧИСЛЕНЬ В СТАТИСТИЧНОМУ НАВЧАННІ","year":2024,"lang":"uk","type":"article","venue":"Наука і техніка сьогодні","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Political science","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":[0.00187104,0.0004712606,0.00043689,0.002105863,0.001666327,0.005406564,0.0007009389,0.0009539929,0.02065581],"category_scores_gemma":[0.007548823,0.0005389287,0.0005313681,0.001962808,0.003385604,0.00331619,0.00184506,0.002199332,0.0059564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001839264,"about_ca_system_score_gemma":0.002657398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003742395,"about_ca_topic_score_gemma":0.005852665,"domain_scores_codex":[0.9980666,0.0005696639,0.0001188386,0.0003396484,0.000765189,0.0001401286],"domain_scores_gemma":[0.9975888,0.0009733653,0.0002069399,0.0005220937,0.0006027508,0.0001062077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005405509,0.00002032773,0.0005361267,0.0001853444,0.00001867332,0.0002000165,0.001223475,0.001008442,0.00242297,0.9360732,0.00395297,0.05430447],"study_design_scores_gemma":[0.00002983349,0.00005134404,0.001799721,0.0002346062,0.00005885035,0.0006969872,0.001352659,0.003431835,0.005353,0.6741535,0.3127681,0.00006953099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03999963,0.01378974,0.4698777,0.01068392,0.001955292,0.0001628121,0.001391452,0.0006102771,0.4615291],"genre_scores_gemma":[0.6067126,0.01333535,0.2895743,0.0006678355,0.0007301769,0.000409762,0.0006867219,0.0005111608,0.08737197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02065581,"threshold_uncertainty_score":0.06910056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2156556062908056,"score_gpt":0.4754551186532032,"score_spread":0.2597995123623975,"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."}}