{"id":"W2030120794","doi":"10.1190/1.2792958","title":"3D azimuthal imaging","year":2007,"lang":"en","type":"article","venue":"","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geoscience BC","funders":"","keywords":"Azimuth; Computer science; Geology; Remote sensing; Computer graphics (images); Optics; Physics","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":[0.0004072587,0.00005284636,0.00004612205,0.00005481412,0.00003028867,0.00007874385,0.0004137325,0.00001457165,0.0001357093],"category_scores_gemma":[0.00002064348,0.00004112137,0.00002191982,0.0001164032,0.00001962429,0.0003489227,0.0001002125,0.00005814112,0.0001117994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001708275,"about_ca_system_score_gemma":0.000007962265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009779514,"about_ca_topic_score_gemma":0.000003838489,"domain_scores_codex":[0.9994035,0.000005672124,0.0001035232,0.0001391647,0.0001513351,0.0001967996],"domain_scores_gemma":[0.9996549,0.0000237546,0.00001329241,0.0002033803,0.00004931997,0.00005534952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002637015,0.000043478,0.006672655,0.000002759228,0.000003018704,0.00001535011,0.0001007293,7.682809e-8,0.02045271,0.6195379,0.002726894,0.3504417],"study_design_scores_gemma":[0.0003603203,0.0002626972,0.02321598,0.00004954952,0.000004529276,0.00003849041,0.00008247466,0.0265798,0.8622125,0.04369889,0.04280848,0.000686257],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001286692,0.00001134591,0.6272031,0.000322477,0.00008668021,0.0000252837,2.175512e-8,0.0003317437,0.3707326],"genre_scores_gemma":[0.8498552,7.953335e-7,0.1491873,0.0004681018,0.00003035083,8.678434e-7,6.690281e-8,0.000001872655,0.0004554318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8485686,"threshold_uncertainty_score":0.1676881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02342296459498123,"score_gpt":0.278267351840641,"score_spread":0.2548443872456598,"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."}}