{"id":"W2303292668","doi":"","title":"АТЭС: В Поисках Оптимальных Решений Для Обеспечения Роста Экономики, Торговли и Занятости (APEC: Looking for Optimal Decisions to Support Economic Growth, Trade and Employment)","year":2014,"lang":"ru","type":"article","venue":"SSRN Electronic Journal","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Summit; Political science; Economic integration; Regional integration; Presidency; Politics; China; International trade; Economics; Economic growth; Development economics; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001605324,0.0004587437,0.0004040117,0.00091935,0.001445057,0.007565439,0.0006715689,0.00157991,0.01189624],"category_scores_gemma":[0.004697487,0.0004064417,0.0005664733,0.001111638,0.003471316,0.004163349,0.00190141,0.001545264,0.001789308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002522158,"about_ca_system_score_gemma":0.003492218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005339745,"about_ca_topic_score_gemma":0.004010546,"domain_scores_codex":[0.9987007,0.0005112983,0.00005741008,0.0002591329,0.0003256125,0.0001458545],"domain_scores_gemma":[0.9988275,0.0004963781,0.0001957199,0.0001227745,0.0002590286,0.0000985739],"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":[0.0001129496,0.00004712824,0.003761583,0.0003300636,0.00004925793,0.0003319191,0.002006374,0.01149957,0.002189663,0.9025247,0.00592025,0.07122652],"study_design_scores_gemma":[0.00003749966,0.0001023474,0.007453349,0.0003526952,0.00007573557,0.0003957931,0.004008837,0.01876972,0.002118126,0.8737429,0.09286807,0.00007488336],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1805976,0.02192681,0.1933127,0.03290716,0.00111967,0.0001922707,0.001188025,0.0003131092,0.5684426],"genre_scores_gemma":[0.9279042,0.006578997,0.03573861,0.00040917,0.0002289198,0.0001584014,0.0001829728,0.0001006383,0.02869788],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01189624,"threshold_uncertainty_score":0.03979683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787436964700786,"score_gpt":0.3063231276179518,"score_spread":0.2884487579709439,"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."}}