{"id":"W2262840895","doi":"","title":"Понятийный компонент концепта «Помилование» в канадском варианте английского языка","year":2013,"lang":"ru","type":"article","venue":"Philology Theory & Practice","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Notional amount; Linguistics; Lexeme; Component (thermodynamics); Computer science; Natural language processing; Artificial intelligence; Philosophy","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":[0.002337353,0.000343363,0.0002736163,0.002292264,0.003248512,0.00877703,0.0006679249,0.0008256347,0.009272252],"category_scores_gemma":[0.005270063,0.0003807347,0.0002944489,0.002841715,0.006668079,0.002727831,0.001850478,0.001650038,0.002237754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006500351,"about_ca_system_score_gemma":0.01182179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1036458,"about_ca_topic_score_gemma":0.1234981,"domain_scores_codex":[0.9970347,0.0005728035,0.0001113527,0.0003250063,0.001645882,0.0003102463],"domain_scores_gemma":[0.9972193,0.0008037087,0.0003243769,0.0003625471,0.001081116,0.00020887],"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":[0.00003633325,0.00002474116,0.001740184,0.0001254744,0.00001236072,0.0002003066,0.009721479,0.0002796557,0.002433495,0.8812321,0.004385963,0.09980785],"study_design_scores_gemma":[0.0000208371,0.00003552279,0.008177144,0.0002043841,0.00004325505,0.0005353288,0.007071564,0.0005796095,0.003970171,0.2012673,0.7780321,0.00006272906],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08557482,0.01006725,0.08801332,0.01036598,0.0008462905,0.0001980672,0.0006472085,0.0003834134,0.8039036],"genre_scores_gemma":[0.8591573,0.006567448,0.057941,0.0004175054,0.0002087092,0.000220892,0.0002006191,0.0001697517,0.07511672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8963542,"threshold_uncertainty_score":0.2060851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02004324672332837,"score_gpt":0.2665469214112778,"score_spread":0.2465036746879495,"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."}}