{"id":"W3030920455","doi":"10.33408/2519-237x.2020.4-2.176","title":"Разработка методики испытаний пакетов материалов одежды специальной защитной пожарных с учетом послойного контроля температуры при нагревании","year":2020,"lang":"ru","type":"article","venue":"Journal of Civil Protection","topic":"Polymer Science and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Alberta","keywords":"Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003085221,0.0008184384,0.0005353793,0.002425545,0.004300133,0.01262901,0.001489217,0.00275534,0.08412419],"category_scores_gemma":[0.008099608,0.0008985004,0.0009611337,0.002302418,0.006225612,0.007432878,0.004389047,0.004125443,0.02651554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005236541,"about_ca_system_score_gemma":0.007033846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01091379,"about_ca_topic_score_gemma":0.0122275,"domain_scores_codex":[0.9948718,0.001128313,0.000275191,0.0009147238,0.002351301,0.0004587136],"domain_scores_gemma":[0.9953146,0.001296984,0.000362424,0.0008368046,0.001720546,0.0004685332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005522087,0.00004599441,0.001112197,0.0002293063,0.00002019055,0.0002984307,0.002219724,0.0006157908,0.001876662,0.8722032,0.04449655,0.07682683],"study_design_scores_gemma":[0.0000178787,0.00002567088,0.001596811,0.0002125534,0.00002179303,0.0003521439,0.001738205,0.0009931561,0.001808898,0.1530993,0.8400813,0.00005213746],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009748013,0.005470252,0.05552135,0.01711432,0.002665385,0.0002098886,0.0009296452,0.0005439287,0.9077972],"genre_scores_gemma":[0.2577725,0.01204707,0.1076971,0.004188801,0.001850597,0.0009024258,0.001203136,0.001133031,0.6132053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08412419,"threshold_uncertainty_score":0.2814234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02754568036712151,"score_gpt":0.2251645820382298,"score_spread":0.1976189016711082,"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."}}