{"id":"W2741852622","doi":"10.1190/tle36080670.1","title":"Application of compressive seismic imaging at Lookout Field, Alaska","year":2017,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"ConocoPhillips","keywords":"Geology; Data acquisition; Seismology; Geophysical imaging; Data quality; Remote sensing; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002022599,0.00006972661,0.0001013099,0.00003004144,0.0004705472,0.00004643755,0.0005109642,0.00002467019,0.0001181592],"category_scores_gemma":[0.00004656039,0.00004814566,0.00004061252,0.00002420775,0.0001657354,0.0001395587,0.00004159404,0.00009832697,0.0003494837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004806233,"about_ca_system_score_gemma":0.000009291553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002384349,"about_ca_topic_score_gemma":0.00002105039,"domain_scores_codex":[0.9994941,0.00002811929,0.0001062762,0.0001290468,0.0001028654,0.0001395363],"domain_scores_gemma":[0.9991885,0.0001288413,0.000167488,0.0004616309,0.00002480598,0.00002871807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002704507,0.000006649627,0.4672137,0.00002179796,0.00001204698,0.000002658289,0.0006478505,0.0001997835,0.001223148,0.00007274072,0.1065554,0.4240172],"study_design_scores_gemma":[0.0004207626,0.00006398157,0.1347678,0.000124432,0.00004645484,0.0000431798,0.0002340937,0.481882,0.1359304,0.004761139,0.2413896,0.0003362287],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7937779,0.0009466626,0.02252627,0.01519837,0.0009517164,0.0004283531,0.0000366951,0.0002631283,0.1658708],"genre_scores_gemma":[0.9960383,0.00002336633,0.0002091956,0.001575714,0.00008311206,0.000001044296,0.00001109754,0.000002602471,0.002055527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4816822,"threshold_uncertainty_score":0.4492022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457500185520832,"score_gpt":0.2500349186356008,"score_spread":0.2354599167803925,"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."}}