{"id":"W3197319275","doi":"10.52571/ptq.v16.n32.2019.616_periodico32_pgs_598_607.pdf","title":"MATHEMATICAL MODELING OF A NEW METHOD OF THERMAL PROTECTION BASED ON THE INJECTION OF SPECIAL COOLANTS","year":2019,"lang":"en","type":"article","venue":"PERIÓDICO TCHÊ QUÍMICA","topic":"Engineering Technology and Methodologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Osteoporosis Canada","funders":"Russian Foundation for Basic Research","keywords":"Coolant; Isothermal process; Evaporation; Viscosity; Mass transfer; Thermal; Thermodynamics; Mechanics; Materials science; Heat transfer; Mass flow; Boundary layer; Filtration (mathematics); Chemistry; Composite material; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005973222,0.000723355,0.000770375,0.0006666156,0.000454588,0.001206909,0.001387768,0.001274295,0.002760736],"category_scores_gemma":[0.000889306,0.0004409987,0.001225543,0.0003978909,0.001280562,0.001467907,0.0007340963,0.001381363,0.0005783232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001012503,"about_ca_system_score_gemma":0.001075033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001735001,"about_ca_topic_score_gemma":0.001165058,"domain_scores_codex":[0.9997059,0.00007879925,0.00001543026,0.00006864248,0.0001046658,0.00002667678],"domain_scores_gemma":[0.9997507,0.0001042316,0.00004874467,0.00002386325,0.0000606403,0.00001176754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004045093,0.00006943439,0.0004183558,0.0003521031,0.00004243338,0.0001818256,0.0002220571,0.5988475,0.0255252,0.3574757,0.0009560368,0.0158689],"study_design_scores_gemma":[0.000008945722,0.00003958505,0.0001095422,0.00001554869,0.00001123456,0.00007314859,0.00001264277,0.9788803,0.002182657,0.01423132,0.00442194,0.00001302552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005853357,0.0004912448,0.9862364,0.0001469042,0.00008074428,0.00004875388,0.00005226359,0.00007650273,0.007013817],"genre_scores_gemma":[0.6469151,0.002464496,0.3100464,0.0002424822,0.0002548463,0.001034752,0.0002398186,0.0001976136,0.03860437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002760736,"threshold_uncertainty_score":0.009235561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05242166187976071,"score_gpt":0.2829501906782022,"score_spread":0.2305285287984414,"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."}}