{"id":"W6946509665","doi":"10.34649/at.2022.4.4.002","title":"Анализ датчиков автоматической системы обогрева стрелочных переводов","year":2022,"lang":"ru","type":"article","venue":"Russian Agency for Digital Standardization","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Victoria Regional Health Centre","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006902453,0.00077683,0.0007773488,0.0003093861,0.002301579,0.001385997,0.001135982,0.0003342762,0.009253971],"category_scores_gemma":[0.0003831435,0.0008424234,0.0008055561,0.001168903,0.0002412631,0.001019981,0.0008590776,0.0009069035,0.0001983324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001332648,"about_ca_system_score_gemma":0.001063899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002506579,"about_ca_topic_score_gemma":0.000008646866,"domain_scores_codex":[0.993471,0.0001179767,0.001196734,0.001395027,0.002231262,0.001588023],"domain_scores_gemma":[0.9973903,0.0001915073,0.0005185144,0.001064228,0.0002458811,0.0005895806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005670066,0.006189936,0.008559184,0.007966177,0.003266985,0.0009194025,0.01111188,0.01289497,0.02263826,0.09145384,0.2734506,0.5558788],"study_design_scores_gemma":[0.005591902,0.00137514,0.0008140858,0.0003374404,0.0002991603,0.0001020117,0.002747929,0.004597712,0.01563097,0.01550068,0.9506564,0.002346623],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06531551,0.007179832,0.05957537,0.005751038,0.00392307,0.004570797,0.07065628,0.001162824,0.7818652],"genre_scores_gemma":[0.9477047,0.0001978121,0.0001966624,0.0001097608,0.001164446,0.0003903121,0.004917783,0.0002549543,0.04506353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8823892,"threshold_uncertainty_score":0.9996507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01617860136173514,"score_gpt":0.2706345939881054,"score_spread":0.2544559926263702,"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."}}