{"id":"W2808942503","doi":"10.31472/ihe.4.2016.01","title":"ВЛИЯНИЕ МАССОВОЙ СКОРОСТИ ПОТОКА НА ХАРАКТЕРИСТИКИ ТЕЧЕНИЯ И ТЕПЛООБМЕНА В ГЛАДКИХ ТРУБАХ ПРИ СВЕРХКРИТИЧЕСКИХ ПАРАМЕТРАХ","year":2016,"lang":"ru","type":"article","venue":"Industrial Heat Engineering","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Business","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001010802,0.001819747,0.001763522,0.0010701,0.0003946669,0.0002039948,0.001518446,0.003436903,0.002553344],"category_scores_gemma":[0.0007435592,0.001664392,0.0006399374,0.001406357,0.0003853779,0.001144893,0.000399797,0.002927153,0.001564127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075016,"about_ca_system_score_gemma":0.0003455153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003965601,"about_ca_topic_score_gemma":0.00008972725,"domain_scores_codex":[0.9927161,0.0001593987,0.001940571,0.001508127,0.000834277,0.002841526],"domain_scores_gemma":[0.9959931,0.000967646,0.0001348599,0.001948266,0.0001693756,0.000786709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001600996,0.001188564,0.008208346,0.002532601,0.005991242,0.002701968,0.003488399,0.2616877,0.2513409,0.1379852,0.1023132,0.2209609],"study_design_scores_gemma":[0.03443508,0.00410146,0.006830011,0.01537547,0.002021613,0.001237539,0.002546852,0.08341943,0.09804898,0.008179474,0.726326,0.01747802],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8043077,0.02191467,0.03860393,0.007028309,0.03875128,0.004379519,0.00162322,0.01377745,0.06961394],"genre_scores_gemma":[0.989678,0.001384547,0.0007908386,0.00006296262,0.004614182,0.0001821928,0.00004897307,0.0004229277,0.00281536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6240129,"threshold_uncertainty_score":0.9994547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02522368131567737,"score_gpt":0.2062872242652597,"score_spread":0.1810635429495823,"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."}}