{"id":"W4411869895","doi":"10.1007/978-981-97-7759-4_56","title":"Deep Learning Methods for Q Field Reconstruction Using Vortex Axes","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in mechanical engineering","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Vortex; Field (mathematics); Q-learning; Physics; Geometry; Computer science; Artificial intelligence; Mathematics; Mechanics; Pure mathematics","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":[0.0008944307,0.0008639675,0.000850873,0.0006624878,0.0003834873,0.001112783,0.001401298,0.001419037,0.00863743],"category_scores_gemma":[0.002958381,0.0006566503,0.0006600316,0.00102125,0.0007877711,0.001655955,0.001778867,0.002387385,0.002327755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006248298,"about_ca_system_score_gemma":0.0009330071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005754755,"about_ca_topic_score_gemma":0.005995565,"domain_scores_codex":[0.9998015,0.00005287751,0.00001485515,0.00004193276,0.00006429937,0.00002465781],"domain_scores_gemma":[0.9991959,0.0004055458,0.00005120308,0.0001221971,0.0001761869,0.00004896281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001462873,0.00008406182,0.000609513,0.0001658531,0.00006353136,0.00004881452,0.00006512945,0.3553932,0.0048863,0.05382546,0.01563824,0.5690735],"study_design_scores_gemma":[0.000005390826,0.000008527065,0.00003879359,0.000008645799,0.000002511707,0.000008508227,0.000003318564,0.9894094,0.000575155,0.008673932,0.001262559,0.000003286363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001990868,0.000369192,0.9960549,0.0001365864,0.00006896818,0.00001423532,0.00007425537,0.0004166513,0.0008744868],"genre_scores_gemma":[0.1527057,0.001353476,0.8283141,0.000305225,0.0002667028,0.0001495906,0.001012226,0.0005650262,0.01532798],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00863743,"threshold_uncertainty_score":0.02889508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02309099002076567,"score_gpt":0.2686940252853204,"score_spread":0.2456030352645547,"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."}}