{"id":"W4399188272","doi":"10.3997/2214-4609.202410341","title":"Local Slope Guided Seismic Signal Separation with Physics Informed Neural Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Artificial neural network; Computer science; SIGNAL (programming language); Representation (politics); Separation (statistics); Field (mathematics); Algorithm; Geology; Data mining; Artificial intelligence; Machine learning; 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":[0.0003780671,0.0006943243,0.0003381543,0.0003895606,0.0001824132,0.0003915576,0.0006928104,0.000584833,0.0009817849],"category_scores_gemma":[0.0009146773,0.0003267749,0.0004531471,0.0003558947,0.0003657265,0.000770117,0.0007847516,0.0008944609,0.0002749914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003596788,"about_ca_system_score_gemma":0.0005258191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002760385,"about_ca_topic_score_gemma":0.003337137,"domain_scores_codex":[0.9998721,0.00002824408,0.000006257459,0.00003149833,0.00004182907,0.00002015947],"domain_scores_gemma":[0.9997728,0.00008926999,0.00003873363,0.00002769034,0.00005503747,0.00001646126],"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":[0.0001633968,0.00004702401,0.0008346651,0.00004251699,0.00005062512,0.00008919744,0.00005325293,0.8446189,0.02358689,0.003635162,0.0006504218,0.1262279],"study_design_scores_gemma":[0.000002950079,0.000008661376,0.00009485381,0.000001550597,0.000002469813,0.000007298022,0.000002671715,0.9976819,0.001212716,0.0008770372,0.0001050188,0.0000030131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04642568,0.0001251385,0.9513212,0.0001175448,0.00002131736,0.0000240427,0.00004141193,0.0005898446,0.001333831],"genre_scores_gemma":[0.7589514,0.0001120571,0.2377046,0.0001098838,0.00004066079,0.00006124011,0.0001985954,0.0001056877,0.002715977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002760385,"threshold_uncertainty_score":0.005488694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614540745128668,"score_gpt":0.2448309740660033,"score_spread":0.2286855666147166,"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."}}