{"id":"W2039403108","doi":"10.1111/j.1365-246x.1973.tb02434.x","title":"A Numerical Ray Generation and its Application to the Computation of Synthetic Seismograms for Complex Layered Media","year":2009,"lang":"en","type":"article","venue":"Geophysical Journal of the Royal Astronomical Society","topic":"Geotechnical and Geomechanical Engineering","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Seismogram; Kinematics; Curvilinear coordinates; Computation; Amplitude; Geometry; Computer science; Algorithm; Physics; Optics; Mathematics; Geology; Classical mechanics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004612487,0.0004261583,0.0003736472,0.0005280841,0.0004002977,0.0005582886,0.0005308447,0.0004475338,0.003496191],"category_scores_gemma":[0.002457392,0.0002501663,0.0004567805,0.0007430678,0.0005891779,0.0004339759,0.0006039295,0.0006009,0.0005837457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002883721,"about_ca_system_score_gemma":0.000607865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002366112,"about_ca_topic_score_gemma":0.00118388,"domain_scores_codex":[0.9998387,0.00005548226,0.00000941291,0.00002139285,0.00006129998,0.00001371259],"domain_scores_gemma":[0.999408,0.0003939065,0.00002440369,0.0000476656,0.0001057718,0.0000201567],"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":[0.0004057184,0.0001142816,0.002475087,0.0003093009,0.00007091858,0.0003442675,0.0004793576,0.3769453,0.03411896,0.100762,0.003227896,0.480747],"study_design_scores_gemma":[0.00002122989,0.0000478413,0.0001982104,0.0000149218,0.000006869462,0.00008284402,0.00001645797,0.983349,0.006257282,0.006202294,0.003793115,0.00001009885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007434707,0.00004135822,0.990564,0.00003134789,0.00001604305,0.00002387327,0.00002597838,0.0008221132,0.001040595],"genre_scores_gemma":[0.07194718,0.0001489619,0.9259673,0.00002274675,0.00001592905,0.0001101448,0.00008296801,0.0001607294,0.001544098],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003496191,"threshold_uncertainty_score":0.01169598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008588865499217063,"score_gpt":0.1978957614097321,"score_spread":0.189306895910515,"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."}}