{"id":"W4403350308","doi":"10.2139/ssrn.4985630","title":"Numerical Study of Natural Convection Heat Transfer in a Square Cavity with a Cold Obstacle Inside Using the Lagrangian Particle Method","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Obstacle; Square (algebra); Natural convection; Mechanics; Particle (ecology); Heat transfer; Lagrangian; Convection; Classical mechanics; Physics; Meteorology; Geology; Mathematics; Geometry; Geography; Theoretical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004697384,0.0004644713,0.001190987,0.0004252158,0.001039178,0.0009392326,0.0009922695,0.001582275,0.001743458],"category_scores_gemma":[0.001207354,0.0003401664,0.0005780956,0.0004996596,0.001602946,0.0005949192,0.0009113568,0.0007397379,0.0001354612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006149002,"about_ca_system_score_gemma":0.001067349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01038872,"about_ca_topic_score_gemma":0.003406525,"domain_scores_codex":[0.9998395,0.00005219044,0.000005103454,0.00002569074,0.00003850069,0.00003892997],"domain_scores_gemma":[0.9992862,0.0004213134,0.00006843416,0.00004153093,0.00009374478,0.00008885783],"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":[0.0001826904,0.0001296555,0.001855481,0.00009719023,0.00003318746,0.0004235539,0.0001214259,0.9788856,0.007451728,0.008054186,0.0003507782,0.002414607],"study_design_scores_gemma":[0.00001687357,0.00003307225,0.0002942903,0.000002790939,0.000003686738,0.00001508606,0.00001597502,0.9988987,0.0003772915,0.0002433003,0.00009304802,0.000005763876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8943485,0.00052535,0.0770691,0.0007154954,0.0002118499,0.00009286059,0.0001454761,0.0002756487,0.02661566],"genre_scores_gemma":[0.9907194,0.00006346047,0.006666606,0.000028646,0.00001919344,0.00003357595,0.00002667298,0.000026117,0.002416367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01038872,"threshold_uncertainty_score":0.02065647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191575061586137,"score_gpt":0.2903297296250867,"score_spread":0.271172223466473,"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."}}