{"id":"W2274274928","doi":"","title":"Деятельность гражданского инженера П. П. Нарановича в Томске","year":2014,"lang":"ru","type":"article","venue":"Вестник Томского государственного университета. История","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chapel; Christian ministry; Quarter (Canadian coin); Service (business); Work (physics); Management; Engineering; Sociology; Library science; History; Art history; Law; Political science; Archaeology; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.005824506,0.003212325,0.003667339,0.001439819,0.004672092,0.001933193,0.005667035,0.002775681,0.01428267],"category_scores_gemma":[0.002293673,0.003504337,0.002149368,0.003399257,0.004334566,0.002643969,0.001674326,0.002975204,0.02598695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002478811,"about_ca_system_score_gemma":0.003080687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005481306,"about_ca_topic_score_gemma":0.005405785,"domain_scores_codex":[0.9778495,0.002820142,0.004305541,0.004725225,0.004143135,0.006156482],"domain_scores_gemma":[0.9868607,0.002781946,0.002561155,0.003587011,0.0009821467,0.003227045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005385907,0.002160258,0.03725425,0.0006246621,0.002139274,0.0002007824,0.03096566,0.0005061242,0.0006490378,0.230866,0.5755636,0.1185317],"study_design_scores_gemma":[0.004091026,0.0005580743,0.04754774,0.0006186372,0.0005773845,0.00008967819,0.006868071,0.0006180227,0.0006500112,0.01279493,0.9210399,0.00454651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2457802,0.003644723,0.001404584,0.03652529,0.01703315,0.003099528,0.0004006138,0.002338332,0.6897736],"genre_scores_gemma":[0.7967113,0.002428875,0.003098131,0.006577036,0.008073853,0.0002990378,0.0004350393,0.0006953917,0.1816814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5509311,"threshold_uncertainty_score":0.9997128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0215067585960118,"score_gpt":0.2788562354260246,"score_spread":0.2573494768300127,"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."}}