{"id":"W2591771484","doi":"10.1016/j.jvolgeores.2017.03.004","title":"Principal component analysis of MSBAS DInSAR time series from Campi Flegrei, Italy","year":2017,"lang":"en","type":"article","venue":"Journal of Volcanology and Geothermal Research","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"Natural Sciences and Engineering Research Council of Canada; University of Colorado Boulder; Natural Environment Research Council; Sight Research UK","keywords":"Caldera; Geology; Volcano; Seismology; Subsidence; Population; Tiltmeter; Geomorphology; Structural basin; Amplitude","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0006393594,0.0001004088,0.0003932951,0.0003676713,0.0001908942,0.00003752665,0.0004207894,0.0001413756,0.0003579145],"category_scores_gemma":[0.0001221352,0.00007896437,0.0001089882,0.0001348789,0.0004670424,0.0001327837,0.00009437556,0.0003796937,0.000007976505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003568915,"about_ca_system_score_gemma":0.00003456521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002292337,"about_ca_topic_score_gemma":0.00006185308,"domain_scores_codex":[0.9990042,0.000069306,0.000325343,0.0001117915,0.0002672034,0.000222176],"domain_scores_gemma":[0.9989583,0.0002268006,0.0001486697,0.0003852873,0.0001939651,0.00008699755],"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":[0.0009982062,0.0005910429,0.1068909,0.0001554169,0.01225142,0.000298412,0.00274977,0.0004912259,0.1437772,0.009289148,0.004294065,0.7182133],"study_design_scores_gemma":[0.0008458508,0.0005858076,0.6877056,0.0001258021,0.0006379995,0.0001090349,0.000306862,0.02178613,0.05129156,0.003503447,0.2327342,0.0003676244],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908212,0.001100586,0.004119372,0.0006912913,0.00004740102,0.00008724296,0.00004914139,0.00002048187,0.003063242],"genre_scores_gemma":[0.9898965,0.0005405463,0.009191549,0.000009120136,0.0000806083,0.000003442306,0.000004342346,0.00001393837,0.0002599992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7178456,"threshold_uncertainty_score":0.3918913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02755180681534106,"score_gpt":0.3179170479788204,"score_spread":0.2903652411634793,"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."}}