{"id":"W3214360075","doi":"10.3390/rs13224649","title":"Insights into Seismogenetic Areas in Central Italy from Combined Absolute Gravity and GNSS Measurements","year":2021,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; Istituto Nazionale di Geofisica e Vulcanologia","keywords":"Gravimeter; GNSS applications; Geodesy; Control network; Geology; Term (time); Remote sensing; Computer science; Physics; Telecommunications; Global Positioning System; Geophysics; Control (management)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001324091,0.0001819662,0.0002530548,0.00006188412,0.0001531974,0.000107833,0.00007635048,0.00007551683,0.00002409199],"category_scores_gemma":[0.00005159358,0.0001812693,0.00005136215,0.0002574825,0.00004842941,0.0001094894,0.00002575091,0.0001597469,0.00003523377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001821495,"about_ca_system_score_gemma":0.00007852716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01890512,"about_ca_topic_score_gemma":0.02535444,"domain_scores_codex":[0.9983929,0.0001632701,0.0002404983,0.0004145321,0.0004299035,0.0003588697],"domain_scores_gemma":[0.9993751,0.00004515695,0.00006725232,0.0002349085,0.0000891594,0.0001884066],"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":[0.0001360736,0.00009321667,0.3999059,0.00007897198,0.0001866198,0.0006412683,0.002773623,0.0022072,0.04232137,0.00001129446,0.00007869447,0.5515658],"study_design_scores_gemma":[0.0007129375,0.00003147142,0.9140811,0.0001115315,0.00002739487,0.000006501199,0.00009466392,0.06561472,0.002928064,0.01594361,0.000207767,0.0002402702],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974423,0.0009901979,0.0001862385,0.0001699619,0.0004008106,0.000116817,0.000008837514,0.00002452305,0.0006603082],"genre_scores_gemma":[0.9965434,0.00004509701,0.002931867,0.0002272598,0.00006829159,3.783981e-9,0.0001459246,0.000005994001,0.00003214266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5513255,"threshold_uncertainty_score":0.9924303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02674775150714334,"score_gpt":0.2134909678673423,"score_spread":0.1867432163601989,"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."}}