{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003975711,0.0005659161,0.000376161,0.003681581,0.0002367939,0.001041354,0.0004245747,0.0005086222,0.0008289788],"category_scores_gemma":[0.0008163085,0.0002579779,0.0003519721,0.004799311,0.0005701111,0.0004190331,0.000871408,0.0002038328,0.0002602249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005269129,"about_ca_system_score_gemma":0.000361199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01829476,"about_ca_topic_score_gemma":0.03087903,"domain_scores_codex":[0.9997086,0.00003544022,0.00001522266,0.00009945098,0.00006740423,0.00007382869],"domain_scores_gemma":[0.9997476,0.0000432211,0.0001047346,0.00003312265,0.00004458364,0.00002676615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004039783,0.00007171107,0.8787652,0.0003660278,0.0002509717,0.001748001,0.002534033,0.02014682,0.0218124,0.001011619,0.001616122,0.07127316],"study_design_scores_gemma":[0.000007184283,0.00002091644,0.9954516,0.00002436529,0.00003300383,0.0001367035,0.000318117,0.002147494,0.0002221935,0.0001017751,0.001525519,0.00001114463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924017,0.001148893,0.001177628,0.0001076767,0.00002112054,0.00001381113,0.001042114,0.0001117634,0.003975293],"genre_scores_gemma":[0.9970911,0.0003384586,0.001053624,0.00002052666,0.00005257954,0.00001038247,0.001012931,0.00001736793,0.0004030781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01829476,"threshold_uncertainty_score":0.03637654,"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."}}