{"id":"W1261516398","doi":"10.1016/j.apm.2015.06.021","title":"Numerical investigation of semi-confined turbulent slot jet impingement on a concave surface using an Al2O3–water nanofluid","year":2015,"lang":"en","type":"article","venue":"Applied Mathematical Modelling","topic":"Heat Transfer Mechanisms","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Nusselt number; Nanofluid; Mechanics; Jet (fluid); Materials science; Turbulence; Heat transfer; Reynolds number; Heat transfer enhancement; Thermodynamics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005035691,0.0003110379,0.0004689383,0.00006952904,0.00004148656,0.00003489068,0.0001713906,0.0001547575,0.00004872264],"category_scores_gemma":[0.000006434083,0.0002543541,0.00006269534,0.000112609,0.00004459162,0.00009657432,0.00002106097,0.0002003808,0.00008111449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001471555,"about_ca_system_score_gemma":0.00003167095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009742997,"about_ca_topic_score_gemma":2.180079e-7,"domain_scores_codex":[0.9981317,0.00003651402,0.00060839,0.000307055,0.0004742743,0.0004420753],"domain_scores_gemma":[0.9991411,0.00007991317,0.0000270518,0.0003519423,0.00006744031,0.0003325587],"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":[0.00001821868,0.00004840951,3.539905e-7,0.0001590162,0.00002881316,0.000002279039,0.001795038,0.6376075,0.331571,0.02873268,0.000008907152,0.00002780019],"study_design_scores_gemma":[0.0003089665,0.00006533312,4.635627e-8,0.00006744535,0.00002811689,0.000003529003,0.00007539452,0.5473884,0.425067,0.0268199,0.000009255285,0.000166631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4467638,0.000009825709,0.5517923,0.00002727509,0.00004113112,0.0003119522,0.000002066818,0.0001559475,0.0008956032],"genre_scores_gemma":[0.9297463,0.000003076238,0.06998064,0.00008451264,0.00005380589,0.00002753974,0.00001701426,0.00008314412,0.000003973611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4829825,"threshold_uncertainty_score":0.9999909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07929103435584199,"score_gpt":0.2461954414471585,"score_spread":0.1669044070913165,"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."}}