{"id":"W4220893519","doi":"10.5194/egusphere-egu22-1567","title":"LitMod3D_4inv: Multi-observable and multi-scale geophysical inversions for the physical state of the Earth.","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lithosphere; Geophysics; Magnetotellurics; Geology; Mantle (geology); Observable; Physics; Seismology; Tectonics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001024259,0.001080225,0.0005152429,0.0005331872,0.0004207936,0.001234218,0.002759606,0.0009970412,0.06046177],"category_scores_gemma":[0.002797555,0.001125821,0.001265667,0.0005598929,0.0005940681,0.001703961,0.002251235,0.001858675,0.01409853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006851615,"about_ca_system_score_gemma":0.001253751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004988959,"about_ca_topic_score_gemma":0.008754889,"domain_scores_codex":[0.9995907,0.00006974707,0.00002039144,0.00008706369,0.000192829,0.00003937272],"domain_scores_gemma":[0.999464,0.0002113132,0.00004628184,0.0001408543,0.00009436651,0.00004323671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004247756,0.0001216209,0.004623683,0.0007689393,0.0003775164,0.0004187693,0.0003497319,0.1075906,0.01708499,0.06074239,0.5767877,0.2307094],"study_design_scores_gemma":[0.0003103603,0.00004787276,0.001708492,0.000083896,0.00003789435,0.0002472031,0.00006422176,0.6468981,0.02173141,0.04062394,0.2881383,0.000108384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0044576,0.0001899398,0.7825968,0.0003113319,0.0002226446,0.0001108518,0.0179337,0.1764895,0.01768765],"genre_scores_gemma":[0.1521333,0.0003965806,0.6745753,0.0007807679,0.0001353903,0.0009319081,0.05832436,0.08486825,0.02785421],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06046177,"threshold_uncertainty_score":0.2022648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04639563758248264,"score_gpt":0.2963476453486912,"score_spread":0.2499520077662085,"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."}}