{"id":"W4413920514","doi":"10.1615/specialtopicsrevporousmedia.2025056908","title":"A computational analysis of the double-diffusive effect on heat absorbing and radiative MHD flow of nanofluid across a mobile vertical porous membrane","year":2025,"lang":"en","type":"article","venue":"Special Topics & Reviews in Porous Media An International Journal","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Nanofluid; Magnetohydrodynamics; Mechanics; Thermal radiation; Radiative transfer; Materials science; Flow (mathematics); Porous medium; Porosity; Heat transfer; Thermodynamics; Physics; Magnetic field; Optics; Composite material","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":[0.0003005671,0.0004519056,0.0007521416,0.0003987637,0.0009056997,0.0009111692,0.0008633331,0.001479074,0.001738572],"category_scores_gemma":[0.001346736,0.0003273055,0.0007380381,0.0003053597,0.00107975,0.0006143546,0.0009014966,0.0007815016,0.0001132036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008022361,"about_ca_system_score_gemma":0.0009395589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01124276,"about_ca_topic_score_gemma":0.004386246,"domain_scores_codex":[0.9998671,0.00002860282,0.000005201922,0.00001866057,0.00003540043,0.00004502998],"domain_scores_gemma":[0.9994234,0.0003818596,0.00004526889,0.00002708967,0.00006840126,0.0000540474],"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":[0.0003421098,0.0001957995,0.002179267,0.0001544566,0.00004737051,0.0004361203,0.0001390504,0.9545975,0.0284505,0.008528307,0.0004321208,0.004497322],"study_design_scores_gemma":[0.00002459437,0.00002937224,0.0004223794,0.000003422935,0.000006036797,0.00001579739,0.00002350054,0.9975677,0.001593376,0.0001859373,0.0001210434,0.000006755182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9378662,0.0004185895,0.04156473,0.0005944163,0.0001466196,0.00008432992,0.0001711935,0.0001621357,0.01899182],"genre_scores_gemma":[0.9948161,0.00006436707,0.003055878,0.00004245215,0.00002064585,0.00002508315,0.00003365616,0.00002487514,0.001916925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01124276,"threshold_uncertainty_score":0.0223546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101488123935383,"score_gpt":0.2950347403312767,"score_spread":0.2840198590919229,"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."}}