{"id":"W4386285247","doi":"10.18280/mmep.100408","title":"Heat Transfer Enhancement Using Ferro-Nanofluid with Magnetic Field in Tube Having Inserted Twisted Tube","year":2023,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nanofluid; Tube (container); Heat transfer enhancement; Materials science; Heat transfer; Mechanics; Magnetic field; Composite material; Physics; Heat transfer coefficient","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001338724,0.0001731717,0.000182174,0.0001736203,0.000165829,0.000227832,0.0001895252,0.0002278488,0.0004628062],"category_scores_gemma":[0.0003370726,0.00007782738,0.0001663159,0.0001491135,0.0002622933,0.0002764722,0.0001558157,0.0001388331,0.0000751691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001639694,"about_ca_system_score_gemma":0.0001136347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002931475,"about_ca_topic_score_gemma":0.0003879888,"domain_scores_codex":[0.9999382,0.00001010779,0.000003312295,0.00001103486,0.0000234235,0.00001384286],"domain_scores_gemma":[0.9998631,0.00005037081,0.00004001636,0.000008385708,0.00002876282,0.000009328475],"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":[0.0001226678,0.00002564172,0.0006674795,0.0001270265,0.00000328308,0.0001320657,0.000064032,0.004347272,0.9889931,0.000336878,0.00007239298,0.005108184],"study_design_scores_gemma":[0.00001201865,0.000492625,0.002354632,0.00001230596,0.00001283208,0.0001179074,0.00006509822,0.03289281,0.9625668,0.0001214758,0.00134005,0.00001133516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922702,0.000537693,0.00577714,0.00006900221,0.00003040787,0.00001080689,0.00002025647,0.00005393129,0.001230569],"genre_scores_gemma":[0.9955434,0.0001908029,0.003864087,0.00000859317,0.000006591918,0.00000636188,0.000009731972,0.000005011783,0.000365373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004628062,"threshold_uncertainty_score":0.001548231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02393267605921218,"score_gpt":0.2055651143072564,"score_spread":0.1816324382480442,"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."}}