{"id":"W6889268237","doi":"10.25513/2312-1300.2017.3.479-481","title":"Осмысливая документы по истории отечества (Омские исторические чтения в ОмГУ им. Ф. М. Достоевского)","year":2017,"lang":"en","type":"article","venue":"Russian Agency for Digital Standardization","topic":"Library Science and Information","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Plenary session; State (computer science); Session (web analytics); Subject (documents); Quarter (Canadian coin)","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":[0.001107792,0.000369512,0.0003032205,0.002119202,0.001696962,0.00535814,0.0005370703,0.0008637835,0.01685725],"category_scores_gemma":[0.002379473,0.0004992518,0.000416554,0.001991239,0.004740556,0.002350212,0.00158121,0.001566324,0.00581898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002406929,"about_ca_system_score_gemma":0.003247395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004300985,"about_ca_topic_score_gemma":0.005841207,"domain_scores_codex":[0.9985501,0.000303275,0.00007286684,0.0002555564,0.0006783977,0.0001398531],"domain_scores_gemma":[0.9988356,0.000314396,0.0001424879,0.0002489768,0.0003668164,0.00009168591],"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":[0.00007047212,0.00003399519,0.0009454201,0.000347351,0.0000152157,0.0006163391,0.006935886,0.0006431187,0.01186225,0.8445631,0.007498101,0.1264687],"study_design_scores_gemma":[0.00002000784,0.00005223653,0.003144786,0.0002803666,0.00002459728,0.0009345349,0.003368846,0.0006966717,0.00903142,0.1823756,0.8000049,0.00006609705],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05962039,0.02735016,0.1190142,0.00818143,0.001869442,0.000170987,0.0005354201,0.0005090137,0.782749],"genre_scores_gemma":[0.7196788,0.02487074,0.09882603,0.000640111,0.0005971415,0.0004514525,0.0003335598,0.0005162494,0.154086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01685725,"threshold_uncertainty_score":0.05639315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572486654629803,"score_gpt":0.2536579845132939,"score_spread":0.2379331179669958,"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."}}