{"id":"W3145948773","doi":"10.18280/mmep.080103","title":"MHD Flow of Micropolar Fluid via Porous Medium Within the Rotating Frame of Reference","year":2021,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nusselt number; Mechanics; Prandtl number; Sherwood number; Lorentz force; Magnetohydrodynamics; Boundary layer; Fluid dynamics; Thermal diffusivity; Classical mechanics; Physics; Heat transfer; Porous medium; Thermodynamics; Materials science; Magnetic field; Turbulence; Porosity; Reynolds number","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":[0.0001405562,0.0002180985,0.0002572548,0.0001870157,0.0002185184,0.0003401285,0.0001929718,0.0002864701,0.0004290266],"category_scores_gemma":[0.0003098832,0.00006783562,0.0001639195,0.0001692956,0.0005344457,0.0003142252,0.0002324835,0.0001723624,0.00006986324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002263258,"about_ca_system_score_gemma":0.0002490819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008865407,"about_ca_topic_score_gemma":0.0003722032,"domain_scores_codex":[0.9999328,0.00001526681,0.000003470488,0.00001185181,0.00002478167,0.00001189079],"domain_scores_gemma":[0.9999352,0.00002740465,0.00001617994,0.00000547168,0.00001027064,0.000005555928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003709755,0.0000689114,0.002446074,0.0004799304,0.00002454952,0.0008351711,0.0003746388,0.08332255,0.846943,0.03528535,0.0005092102,0.02933979],"study_design_scores_gemma":[0.0001288582,0.0008439877,0.007502292,0.0000477331,0.00003691963,0.0009685858,0.0002750122,0.6873608,0.2833778,0.006776224,0.0126009,0.00008088073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8394184,0.001760844,0.1517754,0.0002575991,0.0001420087,0.00005604555,0.0001220295,0.0001553459,0.006312146],"genre_scores_gemma":[0.9831631,0.0004296702,0.01520722,0.00001477656,0.00002390239,0.00001333831,0.00003609363,0.00000728441,0.00110459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008865407,"threshold_uncertainty_score":0.001762807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749908206011714,"score_gpt":0.1940754757143057,"score_spread":0.1765763936541886,"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."}}