{"id":"W1981945884","doi":"10.1190/1.1817612","title":"Can multicomponent or joint AVO inversion improve impedance estimates?","year":2003,"lang":"en","type":"article","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Electrical impedance; Inversion (geology); Joint (building); Geology; Computer science; Seismology; Electrical engineering; Engineering; Structural engineering","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":[0.001700108,0.001357554,0.001057608,0.001181071,0.0005114631,0.001725755,0.0008726291,0.001272745,0.01251002],"category_scores_gemma":[0.01481622,0.0006605646,0.0007462341,0.001153778,0.0005290527,0.003402072,0.001794974,0.001480591,0.005576717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002417529,"about_ca_system_score_gemma":0.0009196557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002722678,"about_ca_topic_score_gemma":0.008055614,"domain_scores_codex":[0.9992759,0.0002423233,0.00004362669,0.0001333568,0.0002273704,0.00007746661],"domain_scores_gemma":[0.9973871,0.001147431,0.0002215828,0.0003940951,0.0007577332,0.00009202284],"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":[0.0006065334,0.0001487765,0.009501093,0.000349154,0.0001851226,0.000139982,0.0002495713,0.07167754,0.06593754,0.006105604,0.01049655,0.8346026],"study_design_scores_gemma":[0.0002260703,0.0002580026,0.01374892,0.0002343251,0.0003301901,0.0003663657,0.0004873267,0.8556049,0.07372916,0.02318803,0.03163684,0.0001898552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04348421,0.0009606109,0.9418523,0.001438092,0.0005991435,0.00006909504,0.0003862389,0.002696002,0.008514323],"genre_scores_gemma":[0.4120918,0.001509215,0.5714595,0.0005332348,0.0003923807,0.00009912407,0.001379602,0.001509931,0.01102526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01251002,"threshold_uncertainty_score":0.04185021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02356653816334231,"score_gpt":0.2239159710294615,"score_spread":0.2003494328661192,"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."}}