{"id":"W1530760391","doi":"10.1029/2010gl044852","title":"Geostatistical inversion of seismic and ground‐penetrating radar reflection images: What can we actually resolve?","year":2010,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Ground-penetrating radar; Geology; Inversion (geology); Reflection (computer programming); Radar; Seismic inversion; Seismology; Geophysics; Remote sensing; Geodesy; Geometry; Azimuth; Computer science; Mathematics","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":[0.0003843248,0.0001575355,0.0002160833,0.0001244557,0.000193535,0.0001557356,0.0002038733,0.00007388178,0.00001616365],"category_scores_gemma":[0.0002141391,0.00015003,0.00005669434,0.0004288332,0.0004407774,0.0003012176,0.0001067363,0.001068139,0.00003036595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000416257,"about_ca_system_score_gemma":0.00002828223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003958442,"about_ca_topic_score_gemma":0.00003499761,"domain_scores_codex":[0.9983139,0.0001344916,0.0002253295,0.000317933,0.0005126793,0.000495656],"domain_scores_gemma":[0.998302,0.001017355,0.00002923928,0.0003198098,0.0001053525,0.0002262451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001337257,0.00003531314,0.00001029092,0.00009008462,0.00001514194,0.000004061781,0.0002851677,0.00001608851,0.9180322,0.002338474,0.0007937209,0.07836603],"study_design_scores_gemma":[0.004381236,0.001609943,0.1837585,0.00128146,0.0001993407,0.00004922129,0.005946602,0.1248283,0.4190017,0.2280503,0.02772453,0.003168926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897792,0.00003806225,0.005359123,0.004082494,0.0001468548,0.0002550993,0.00002026767,0.00008084545,0.0002380675],"genre_scores_gemma":[0.9821092,0.0001447665,0.01715715,0.0001773526,0.0002767462,0.00004194446,0.00001869966,0.00003217529,0.00004194603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4990305,"threshold_uncertainty_score":0.6118048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03229845975702689,"score_gpt":0.3283649321543277,"score_spread":0.2960664723973008,"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."}}