{"id":"W2089000993","doi":"10.1190/1.3694900","title":"Unified geophysical and geological 3D Earth models","year":2012,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Discretization; Polygon mesh; Geophysics; Inversion (geology); Computer science; Geology; Tetrahedron; Computational science; Computer graphics (images); Algorithm; Geometry; Mathematics; Mathematical analysis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003627706,0.0001114989,0.0001655096,0.00002026764,0.0001848189,0.00003246255,0.0001575814,0.00005924856,0.0002054106],"category_scores_gemma":[0.00005896564,0.00005946576,0.00004060685,0.0001944593,0.0001497026,0.0001768903,0.00002401281,0.0002522297,0.0009240044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001038344,"about_ca_system_score_gemma":0.000006485068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000210291,"about_ca_topic_score_gemma":0.00001649808,"domain_scores_codex":[0.9989737,0.0001794569,0.00009881346,0.0001524504,0.0001376017,0.0004579443],"domain_scores_gemma":[0.9990812,0.0005664226,0.00002640007,0.0001403942,0.00001201115,0.0001735839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008258627,0.00007483875,0.03673576,0.00001640872,0.000032191,0.000004802329,0.0008323604,0.001083692,0.000329123,0.0295255,0.0009326693,0.9303501],"study_design_scores_gemma":[0.0001902725,0.000199262,0.8598685,0.000006368024,0.0000327592,0.00002113413,0.00002766625,0.04712553,0.0002654094,0.07880257,0.01320623,0.0002542861],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668784,0.0005854925,0.001899294,0.0007528387,0.0002251137,0.0001021625,0.000004418756,0.00006563258,0.02948667],"genre_scores_gemma":[0.9946313,0.00001999189,0.002136477,0.0005202547,0.0005056139,9.668435e-7,0.000005183666,0.000002331996,0.002177918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9300958,"threshold_uncertainty_score":0.9998539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0461957011775006,"score_gpt":0.2523882575157156,"score_spread":0.206192556338215,"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."}}