{"id":"W4404203788","doi":"10.26443/seismica.v3i2.1341","title":"DeepRFQC: automating quality control for P-wave receiver function analysis using a U-net inspired network","year":2024,"lang":"en","type":"article","venue":"Seismica","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quality (philosophy); Function (biology); Computer science; Control (management); Net (polyhedron); Artificial intelligence; Physics; Mathematics; Biology; Cell biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008882477,0.000147461,0.0002609686,0.0002231304,0.0002282767,0.0003431563,0.0002195158,0.0001021075,0.00001591908],"category_scores_gemma":[0.0001025801,0.0001474359,0.0002174519,0.001613141,0.00002810253,0.0005422354,0.00004887022,0.000111907,0.00001882881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001753324,"about_ca_system_score_gemma":0.0000985541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007266938,"about_ca_topic_score_gemma":0.00001230656,"domain_scores_codex":[0.9982044,0.0002089049,0.0004620387,0.0005695514,0.000268648,0.0002864861],"domain_scores_gemma":[0.9985499,0.000549962,0.0001893101,0.0004820654,0.0001584504,0.00007028427],"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":[0.00006797333,0.00006128183,0.001330419,0.0001324681,0.001242048,0.000005258024,0.001234349,0.7178439,0.01144545,0.1164142,0.001624122,0.1485986],"study_design_scores_gemma":[0.0002294328,0.00002789536,0.01557382,0.00003420188,0.000223454,0.000001792394,0.00001594522,0.9735848,0.0001112667,0.007836468,0.002189608,0.0001713596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04616211,0.0001420889,0.9512934,0.000822434,0.0005781209,0.0003376688,0.00001395733,0.0005353935,0.0001148317],"genre_scores_gemma":[0.9133187,0.000001241762,0.08572942,0.0004831844,0.0002961954,0.00004556859,0.00003142594,0.00001449249,0.00007980086],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8671566,"threshold_uncertainty_score":0.6012261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05962191378593553,"score_gpt":0.302930087981521,"score_spread":0.2433081741955855,"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."}}