{"id":"W2071018450","doi":"10.1190/1.1859698","title":"Cone-based geophysical imaging: A proposed solution to a challenging problem","year":2005,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; BC Hydro","keywords":"Geophysical imaging; Geophysics; Cone (formal languages); Geology; Computer science; Algorithm","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001629064,0.0001308419,0.0001357162,0.00004214057,0.0001420176,0.00004102444,0.0001889759,0.00002562603,0.00000820453],"category_scores_gemma":[0.00001542564,0.000101751,0.00006051975,0.0002238988,0.00003550124,0.0000631714,0.00002679438,0.0001848234,0.0008100655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006847588,"about_ca_system_score_gemma":0.00001215246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007597311,"about_ca_topic_score_gemma":0.000003447265,"domain_scores_codex":[0.9992579,0.00002832743,0.0001345384,0.0001636499,0.0001068628,0.0003087363],"domain_scores_gemma":[0.9995199,0.00009078246,0.00001773601,0.0002621576,0.00002676395,0.0000826166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001472035,0.0001683858,0.00003652115,0.0001051533,0.00004136784,0.000001573434,0.001672361,0.04484522,0.6235185,0.0265643,0.007105232,0.2959266],"study_design_scores_gemma":[0.0005977777,0.00005175351,0.00227065,0.0001297608,0.00006188454,0.000004589562,0.00005854683,0.8277407,0.04587508,0.004630486,0.1180006,0.0005782149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2243627,0.0002574093,0.7125434,0.03843905,0.0002899508,0.001605343,0.000009971914,0.001926219,0.02056597],"genre_scores_gemma":[0.9767675,0.000001407659,0.02207714,0.0002945326,0.0004527395,0.0001143341,0.000002482671,0.00003324225,0.0002566679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7828954,"threshold_uncertainty_score":0.9999679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01828520350561058,"score_gpt":0.2644110745232084,"score_spread":0.2461258710175979,"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."}}