{"id":"W4404694762","doi":"10.1190/geo2024-0148.1","title":"Unsupervised ground-roll attenuation via implicit neural representations","year":2024,"lang":"en","type":"article","venue":"Geophysics","topic":"Tribology and Lubrication Engineering","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Alberta Energy","funders":"","keywords":"Attenuation; Computer science; Geology; Artificial intelligence; Physics; Optics","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":[0.0005588633,0.001227498,0.0007576307,0.0007354506,0.0002906745,0.000719889,0.00151464,0.0009156953,0.001275689],"category_scores_gemma":[0.002018747,0.0005308844,0.0006404589,0.0007125417,0.0006645144,0.001396789,0.001002979,0.001642648,0.0005055481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000616197,"about_ca_system_score_gemma":0.0008878443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007932806,"about_ca_topic_score_gemma":0.008981646,"domain_scores_codex":[0.9997148,0.00005575851,0.00001034787,0.00008875379,0.00007384175,0.00005637178],"domain_scores_gemma":[0.9993279,0.0002554541,0.0001282538,0.00009418978,0.0001584241,0.00003573445],"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":[0.0001183093,0.00009968705,0.001284349,0.00004461385,0.00004953766,0.00008233761,0.00005572293,0.8349877,0.007220339,0.002060714,0.001742232,0.1522544],"study_design_scores_gemma":[0.000002748165,0.000008669745,0.00009717495,0.000002870964,0.000003079948,0.000004655656,0.000002631958,0.9985418,0.0006910356,0.0005460066,0.0000972327,0.000002060641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1405162,0.0003551485,0.8522395,0.0002976533,0.00006235282,0.00004826987,0.0001665367,0.003193558,0.003120783],"genre_scores_gemma":[0.9215643,0.000127058,0.07295983,0.0001636267,0.00004983052,0.00004946457,0.0006629683,0.0001669286,0.004255886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007932806,"threshold_uncertainty_score":0.0157733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009545005692440248,"score_gpt":0.2295921754927251,"score_spread":0.2200471698002849,"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."}}