{"id":"W3163614731","doi":"","title":"МАТЕРИАЛЬНОЕ ОБЕСПЕЧЕНИЕ ЧЛЕНОВ СЕМЕЙ КАНАДСКИХ ДОБРОВОЛЬЦЕВ В ГОДЫ ПЕРВОЙ МИРОВОЙ ВОЙНЫ","year":2021,"lang":"ru","type":"article","venue":"PERM UNIVERSITY HERALD. HISTORY / ВЕСТНИК ПЕРМСКОГО УНИВЕРСИТЕТА. ИСТОРИЯ","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public administration; Law; Government (linguistics); Pension; Political science; Parliament; Social security; State (computer science); Legislature; Politics","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":[0.001328434,0.0004009356,0.0002747345,0.002255117,0.002925003,0.004926621,0.0006514871,0.0009910228,0.01809537],"category_scores_gemma":[0.003605317,0.000605871,0.0003988842,0.00172414,0.00392992,0.001610535,0.001684419,0.001604034,0.004439416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003075251,"about_ca_system_score_gemma":0.00763528,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0401498,"about_ca_topic_score_gemma":0.06988998,"domain_scores_codex":[0.99775,0.0002417039,0.00006564993,0.000216613,0.001478355,0.0002477089],"domain_scores_gemma":[0.9985752,0.0004274004,0.0002100415,0.0001973411,0.0004283187,0.000161785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008705947,0.00006563477,0.001924218,0.0003638843,0.00002424559,0.001072431,0.007634299,0.0009387636,0.02138232,0.7491196,0.01102322,0.2063643],"study_design_scores_gemma":[0.00004036361,0.00006126997,0.006464034,0.000302719,0.0000551823,0.001143625,0.003598006,0.001129613,0.01442422,0.1426085,0.8300579,0.0001145116],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08019686,0.02294017,0.08775993,0.008733138,0.001189243,0.0002689264,0.0007317021,0.0003944956,0.7977856],"genre_scores_gemma":[0.7958928,0.01660265,0.06393208,0.0005116188,0.0004124985,0.0002952591,0.0003120819,0.0002807009,0.1217602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9598502,"threshold_uncertainty_score":0.0798322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516515618932293,"score_gpt":0.1790733421797338,"score_spread":0.1639081859904109,"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."}}