{"id":"W7047363792","doi":"","title":"Generalization of Urban Wind Field Using Fourier Neural Operators Across Different Wind Directions and Cities","year":2024,"lang":"en","type":"other","venue":"Spectrum Research Repository (Concordia University)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Fourier transform; Artificial neural network; Computational fluid dynamics; Frequency domain; Field (mathematics); Generalization; Deep learning; Fast Fourier transform","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003473637,0.0004255859,0.0001984665,0.000387343,0.0001551459,0.000296264,0.0004059836,0.0004293945,0.0007665367],"category_scores_gemma":[0.0007644009,0.0001544716,0.0005152399,0.0002617001,0.000381073,0.0005824147,0.0003205023,0.0004806036,0.0001055073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003430919,"about_ca_system_score_gemma":0.000339009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007969848,"about_ca_topic_score_gemma":0.005494301,"domain_scores_codex":[0.9999535,0.0000102417,0.000002454185,0.00001390687,0.00001034094,0.000009518576],"domain_scores_gemma":[0.9998443,0.00005773061,0.00002095577,0.00001905592,0.00003871335,0.00001915249],"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":[0.00004418857,0.00004479985,0.002219205,0.00002270177,0.00001678667,0.00007714513,0.00004940429,0.9667407,0.004345767,0.002904976,0.0003950262,0.02313939],"study_design_scores_gemma":[0.000001376908,0.000004610716,0.000262903,9.365389e-7,8.331005e-7,0.000005239361,0.000003294069,0.9991042,0.000192454,0.0003715984,0.00005080558,0.000001673732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5516383,0.0002322478,0.4423175,0.0002798646,0.0000605528,0.00005432671,0.0001848533,0.0005931065,0.004639226],"genre_scores_gemma":[0.9674937,0.0001413966,0.03062497,0.00005149459,0.00001684532,0.00002685874,0.0002150262,0.00002943126,0.001400231],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007969848,"threshold_uncertainty_score":0.01584691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02132680625297959,"score_gpt":0.266429071299976,"score_spread":0.2451022650469964,"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."}}