{"id":"W2139182202","doi":"10.1190/1.1512799","title":"Estimation of quality factors from CMP records","year":2002,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":266,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BP (Canada)","funders":"University of British Columbia","keywords":"Geology; Amplitude; Anelastic attenuation factor; Offset (computer science); Vertical seismic profile; Seismology; Wavelet; Geodesy; Quality (philosophy); Factor (programming language); Seismic wave; Computer science; Optics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001544631,0.0005331917,0.0002885877,0.002996526,0.0002143477,0.0008155766,0.000432197,0.0004455772,0.0009563135],"category_scores_gemma":[0.01069553,0.0003163871,0.0003199915,0.002100416,0.000260214,0.001132123,0.0005875598,0.0003508598,0.0005292716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005312002,"about_ca_system_score_gemma":0.0004756013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009718806,"about_ca_topic_score_gemma":0.007454788,"domain_scores_codex":[0.9993178,0.00009609335,0.00005829735,0.000164925,0.0002968707,0.00006606081],"domain_scores_gemma":[0.9959888,0.001212843,0.0006991904,0.0004012789,0.001574346,0.0001235402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009294877,0.00009618972,0.3936237,0.0004394047,0.0002810286,0.0002844986,0.0003661405,0.06559098,0.0767851,0.002787077,0.002894823,0.4559216],"study_design_scores_gemma":[0.00009758718,0.0001950954,0.5583067,0.000069478,0.0001343075,0.000313407,0.0002273894,0.3952574,0.03398166,0.004152206,0.007151029,0.0001137385],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6718405,0.0005467999,0.3183776,0.0001158345,0.00002492596,0.0001548968,0.004867026,0.001388958,0.002683496],"genre_scores_gemma":[0.9000561,0.0002375455,0.09470001,0.00001865743,0.00002526831,0.00005533767,0.004388792,0.0001197212,0.0003985669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009718806,"threshold_uncertainty_score":0.01932448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03446133009912276,"score_gpt":0.2370196874345598,"score_spread":0.202558357335437,"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."}}