{"id":"W4312427477","doi":"10.15673/swonaft.v80i1.234","title":"ИСПОЛЬЗОВАНИЕ ЭНЕРГЕТИЧЕСКОГО ПОТЕНЦИАЛА ПРОЦЕССА РЕКТИФИКАЦИИ СМЕСИ ВОДА – УКСУСНАЯ КИСЛОТА","year":2017,"lang":"ru","type":"article","venue":"Scientific Works","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology","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":[0.003624324,0.000881557,0.0009067666,0.002958546,0.003216434,0.01074277,0.001571596,0.00240578,0.04661077],"category_scores_gemma":[0.007730119,0.0008783436,0.001029542,0.003073115,0.003370913,0.004251328,0.003478528,0.002926692,0.01563107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004250649,"about_ca_system_score_gemma":0.009425215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01236633,"about_ca_topic_score_gemma":0.01128107,"domain_scores_codex":[0.9941329,0.001338983,0.0003027399,0.0009089718,0.002732041,0.0005842625],"domain_scores_gemma":[0.9953311,0.001133146,0.0005231315,0.0007012728,0.001868848,0.0004424237],"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":[0.0003125711,0.0002275003,0.01014686,0.001567979,0.0001425546,0.001313497,0.004857078,0.003725739,0.01600128,0.5320024,0.05399918,0.3757033],"study_design_scores_gemma":[0.0000474064,0.0001016026,0.008914236,0.0005927875,0.0001048519,0.001219263,0.003542127,0.002650834,0.01212781,0.1078141,0.8627089,0.000176181],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0636443,0.03523841,0.1320801,0.01919069,0.002874945,0.0005363986,0.003098532,0.001259169,0.7420774],"genre_scores_gemma":[0.6416211,0.0330209,0.1048038,0.002363519,0.001135147,0.001075748,0.003271262,0.001008291,0.2117003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04661077,"threshold_uncertainty_score":0.1559286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546534621333781,"score_gpt":0.2356357186540091,"score_spread":0.2201703724406713,"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."}}