{"id":"W2045713616","doi":"10.1190/1.1851197","title":"A non‐linear, three‐parameter AVO method that can be solved non‐iteratively","year":2004,"lang":"en","type":"article","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Applied mathematics; Nonlinear system; Mathematics; Mathematical optimization; Physics","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":[0.0005240203,0.0004903103,0.0004912353,0.0002551292,0.0003744485,0.0008156177,0.0009666064,0.0008263403,0.00316807],"category_scores_gemma":[0.001416378,0.0003669973,0.0004404052,0.0003435429,0.0004789396,0.0006933315,0.0009291871,0.001043696,0.001497305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002502309,"about_ca_system_score_gemma":0.0009072272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001385626,"about_ca_topic_score_gemma":0.002431833,"domain_scores_codex":[0.9997563,0.00006008564,0.00001232265,0.00004566674,0.000108139,0.00001758463],"domain_scores_gemma":[0.9997022,0.0001154592,0.00003216028,0.00004279733,0.00008754484,0.00001984263],"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":[0.00009105886,0.00008074602,0.0008506528,0.0003651965,0.00007204599,0.0001870034,0.000264197,0.2854137,0.07959072,0.1571329,0.008274578,0.4676771],"study_design_scores_gemma":[0.00001527389,0.00002582185,0.0001741452,0.00002161533,0.00001033326,0.0001265097,0.00002026359,0.960693,0.005039677,0.01594636,0.01790394,0.00002305293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008573588,0.0000410039,0.9977724,0.00005003648,0.00003516956,0.00001385549,0.00001473033,0.0001190166,0.00109631],"genre_scores_gemma":[0.04606301,0.0001489633,0.9453375,0.00008171278,0.00006877993,0.0001858158,0.0001121929,0.000228661,0.007773305],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00316807,"threshold_uncertainty_score":0.01059824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03744646967333214,"score_gpt":0.2683123296361801,"score_spread":0.2308658599628479,"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."}}