{"id":"W2102964909","doi":"10.1046/j.1365-246x.2003.01919.x","title":"Assessment of crustal velocity models using seismic refraction and reflection tomography","year":2003,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":158,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology; Tomography; Seismic tomography; Inversion (geology); Seismology; Data set; Geodesy; Algorithm; Geophysics; Computer science; Mantle (geology); Optics; Tectonics; Artificial intelligence; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002398251,0.00007135286,0.00009580145,0.0001471783,0.0001861205,0.00004637759,0.00007599853,0.00003562598,0.0001835441],"category_scores_gemma":[0.00001745835,0.0000618159,0.00006549728,0.0001096976,0.0000606464,0.0005049556,0.000008468234,0.0002260654,0.000001369118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001817788,"about_ca_system_score_gemma":0.00004959117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007387155,"about_ca_topic_score_gemma":0.000002739387,"domain_scores_codex":[0.9992284,0.00007054456,0.0001833956,0.0001144549,0.0002968928,0.0001062874],"domain_scores_gemma":[0.9995835,0.00003773574,0.0001466442,0.00004656575,0.0001230396,0.00006252676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003204306,0.0006887963,0.3862401,0.00007006866,0.0007234475,0.00007812677,0.001009364,0.1705785,0.01577481,0.01907459,0.005439118,0.4000027],"study_design_scores_gemma":[0.0002051649,0.00009241454,0.05022184,0.00002730924,0.00001479073,0.0002207067,0.000103265,0.9124122,0.001136713,0.03356763,0.001905297,0.00009263602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9105272,0.00003915749,0.08121107,0.0001658648,0.0005535594,0.00003416429,0.000009800308,0.00001839241,0.007440778],"genre_scores_gemma":[0.9894226,0.00006345248,0.01008911,0.0002496904,0.0001127263,1.575555e-7,0.000006941328,0.000002037581,0.00005330075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7418337,"threshold_uncertainty_score":0.2520779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721597301602707,"score_gpt":0.2892064489532421,"score_spread":0.261990475937215,"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."}}