{"id":"W2564344154","doi":"","title":"Социальная поддержка ветеранов войн: зарубежный опыт","year":2016,"lang":"ru","type":"article","venue":"Марийский юридический вестник","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Social policy; State (computer science); Social support; Social assistance; Psychology; Economic growth; Social psychology; Law; Economics","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":[0.001200174,0.0003282724,0.0002757233,0.0017335,0.001533716,0.003760446,0.0003542254,0.0007356346,0.01387366],"category_scores_gemma":[0.00298624,0.0003373339,0.0002902281,0.001693421,0.002393043,0.001575788,0.001349333,0.001633182,0.004296107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001180127,"about_ca_system_score_gemma":0.002709299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003024779,"about_ca_topic_score_gemma":0.004865027,"domain_scores_codex":[0.9986749,0.0003149798,0.00007924926,0.0001387544,0.0006609297,0.0001311742],"domain_scores_gemma":[0.9990509,0.0003049027,0.000125867,0.00013411,0.0003106834,0.00007342964],"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":[0.0001329964,0.00007264577,0.001999835,0.0004319379,0.00002259144,0.00128284,0.005400764,0.0007610485,0.01382275,0.6071432,0.01865147,0.350278],"study_design_scores_gemma":[0.00002453977,0.00007436189,0.002398246,0.0002355159,0.0000305837,0.002327796,0.001990416,0.0005025849,0.00681175,0.1122207,0.8733142,0.00006925792],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.08254969,0.07377824,0.111797,0.02353597,0.006248798,0.0002664441,0.001049786,0.0003673079,0.7004068],"genre_scores_gemma":[0.7928153,0.04009576,0.06780698,0.0007995291,0.001751766,0.0003254419,0.0002664753,0.0002039137,0.09593476],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01387366,"threshold_uncertainty_score":0.04641205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04824690239723008,"score_gpt":0.3654794223818565,"score_spread":0.3172325199846265,"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."}}