{"id":"W2943028739","doi":"10.32620/aktt.2018.2.03","title":"ПЕРСПЕКТИВЫ ПРИМЕНЕНИЯ ТЕХНОЛОГИИ ХОЛОДНОГО ГАЗОДИНАМИЧЕСКОГО НАПЫЛЕНИЯ ДЛЯ ЗАЩИТЫ И ВОССТАНОВЛЕНИЯ ДЕТАЛЕЙ ИЗ МАГНИЕВЫХ СПЛАВОВ","year":2018,"lang":"en","type":"article","venue":"Aerospace technic and technology","topic":"Material Properties and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Defense","keywords":"Gas dynamic cold spray; Materials science; Corrosion; Metallurgy; Coating; Magnesium; Thermal spraying; Galvanic corrosion; Nozzle; Composite material; Mechanical engineering; Engineering","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004981907,0.0005078508,0.000615388,0.0003195595,0.000809075,0.0001869362,0.001059601,0.0007283884,0.001801437],"category_scores_gemma":[0.0001475509,0.0004380139,0.00008212059,0.0009552459,0.002066874,0.0002675548,0.0009337814,0.0004106001,0.00173253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008752973,"about_ca_system_score_gemma":0.0001016791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002954711,"about_ca_topic_score_gemma":0.0001470533,"domain_scores_codex":[0.9968969,0.00005719146,0.0005892807,0.001098034,0.0003226123,0.001035994],"domain_scores_gemma":[0.9978217,0.00005394596,0.0002884681,0.001371255,0.0002621453,0.0002024467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003780009,0.0001059358,0.000362515,0.00004269663,0.00001604155,0.000008805523,0.00009270128,3.780641e-7,0.9260606,0.05126953,0.01089078,0.01111229],"study_design_scores_gemma":[0.0007425254,0.0006900312,0.0003163794,0.00009037124,0.00005791965,0.0001873792,0.0004405618,0.00008939124,0.798256,0.0204049,0.1779546,0.000769961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725361,0.0009571945,0.002708272,0.01176326,0.0006241577,0.0009112257,0.00006169759,0.002744561,0.007693553],"genre_scores_gemma":[0.9893124,0.0003242671,0.005752288,0.0004720543,0.0003140023,0.0003357404,0.00001326932,0.00008176632,0.003394189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1670638,"threshold_uncertainty_score":0.9998072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009391296747010927,"score_gpt":0.2365667508891966,"score_spread":0.2271754541421857,"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."}}