{"id":"W4416727804","doi":"10.23919/oceans59106.2025.11244957","title":"Wstformer: Wave Height Estimation from X-Band Marine Radar Images using Wavelet Scattering Transform and Vision Transformer","year":2025,"lang":"","type":"article","venue":"","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Radar; Radar imaging; Wavelet transform; Convolutional neural network; Wavelet; Leverage (statistics); Wind wave; Continuous-wave radar; Bistatic radar","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003806943,0.0006149175,0.0003388804,0.0004926104,0.0001339783,0.0003985427,0.0007555331,0.0004659862,0.001081366],"category_scores_gemma":[0.0006820868,0.0002358433,0.0005405399,0.0004264495,0.0002008337,0.0008086567,0.0004439931,0.0005461411,0.0004926808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000280757,"about_ca_system_score_gemma":0.0005020088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00601496,"about_ca_topic_score_gemma":0.006027312,"domain_scores_codex":[0.9998647,0.0000123191,0.000007749049,0.00003917449,0.00005926465,0.00001683176],"domain_scores_gemma":[0.9998823,0.00002551252,0.00002093134,0.00001664278,0.00004748463,0.000007129304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001904717,0.0001581565,0.005805325,0.0001330858,0.0001573097,0.0001636995,0.00006226419,0.3818375,0.0599068,0.003362647,0.003645895,0.5445769],"study_design_scores_gemma":[0.000006075097,0.00002823425,0.00105403,0.000003805714,0.00001045223,0.0000528201,0.000005791714,0.9903441,0.007342215,0.0003727193,0.0007707751,0.000008926416],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03532485,0.0001834005,0.9617325,0.00007943434,0.00006046684,0.00004542672,0.0001759228,0.001258567,0.001139499],"genre_scores_gemma":[0.6771598,0.0006356348,0.3140855,0.0001597627,0.00006648226,0.0001337847,0.001426355,0.0001712591,0.006161518],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00601496,"threshold_uncertainty_score":0.01195991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009524293727596745,"score_gpt":0.2367112990680367,"score_spread":0.2271870053404399,"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."}}