{"id":"W4403628939","doi":"10.1016/j.rse.2024.114480","title":"4D imaging of the volcano feeding system beneath the urban area of the Campi Flegrei caldera","year":2024,"lang":"en","type":"article","venue":"Remote Sensing of Environment","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Agenzia Spaziale Italiana; NOAA Center for Earth System Sciences and Remote Sensing Technologies; Agencia Estatal de Investigación; National Science Foundation","keywords":"Caldera; Volcano; Geology; Remote sensing; Seismology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001055538,0.000335067,0.000179191,0.001630057,0.0001870547,0.0004492343,0.0003028891,0.0004699252,0.001228976],"category_scores_gemma":[0.0001848251,0.0002482625,0.0002457347,0.0007947183,0.0001691377,0.0002188209,0.0003443028,0.0002708242,0.0002696794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003235975,"about_ca_system_score_gemma":0.0003778971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01023792,"about_ca_topic_score_gemma":0.03543887,"domain_scores_codex":[0.9999129,0.000006721299,0.000002304995,0.0000237934,0.00003167022,0.00002261263],"domain_scores_gemma":[0.9999436,0.000009106685,0.00001194881,0.000009465986,0.00001508785,0.00001074229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002951454,0.0005346918,0.1721153,0.0003861185,0.0002427982,0.002211658,0.001527485,0.1246864,0.43744,0.00206559,0.007296174,0.2511987],"study_design_scores_gemma":[0.00005701806,0.0001445876,0.6391558,0.00005861324,0.00011403,0.0009882896,0.0007142187,0.3278809,0.01797839,0.0007904089,0.01204681,0.00007091311],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9542475,0.0004344637,0.02827292,0.0004431843,0.00004729655,0.00008989785,0.004302506,0.0007513199,0.01141085],"genre_scores_gemma":[0.9375135,0.0003079824,0.05732014,0.00009981795,0.00005242988,0.00003733974,0.002686745,0.00007106824,0.001910949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01023792,"threshold_uncertainty_score":0.02035666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005274963515016382,"score_gpt":0.1732527068509768,"score_spread":0.1679777433359604,"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."}}