{"id":"W1983719298","doi":"10.1190/1.1851252","title":"Attenuation estimates from VSP and log data","year":2004,"lang":"en","type":"article","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Attenuation; Geology; Computer science; Seismology; Physics; Optics","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":[0.0004714093,0.0004132712,0.0002352746,0.00309515,0.0002641177,0.0005881585,0.0004887019,0.0001811811,0.005317396],"category_scores_gemma":[0.003193961,0.0002835898,0.000216334,0.002158743,0.0002135739,0.0008704155,0.0005359279,0.0003420397,0.001793808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001058824,"about_ca_system_score_gemma":0.0007326803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04156483,"about_ca_topic_score_gemma":0.04444882,"domain_scores_codex":[0.9993449,0.00006477903,0.00003407221,0.00007120707,0.0004312188,0.0000537674],"domain_scores_gemma":[0.9988507,0.000154601,0.000116294,0.00009242016,0.0007642157,0.00002174645],"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":[0.00037049,0.0001369898,0.3682987,0.0004512078,0.0001522856,0.0004102151,0.0004333049,0.1055422,0.06785095,0.004570191,0.01539701,0.4363864],"study_design_scores_gemma":[0.0000705553,0.0002156373,0.5704107,0.0001157723,0.0001477964,0.0004922537,0.0006446688,0.3326457,0.05810043,0.005121654,0.03191274,0.000121997],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.774847,0.0004266591,0.1709361,0.0001607552,0.00003563475,0.0002333037,0.01491217,0.003367207,0.03508108],"genre_scores_gemma":[0.9459891,0.0004344707,0.03577314,0.00003600276,0.00001621922,0.0001201361,0.01140276,0.0003094772,0.005918713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04156483,"threshold_uncertainty_score":0.08264577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03574284062798108,"score_gpt":0.2439463876073291,"score_spread":0.208203546979348,"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."}}