{"id":"W3160779047","doi":"","title":"CO 2 Monitoring Using Hybrid Structural-Petrophysical Joint Inversion at the CaMI Field Research Station (CaMI.FRS), Canada","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geology; Joint (building); Inversion (geology); Petrophysics; Geodesy; Remote sensing; Mining engineering; Seismology; Engineering; Geotechnical engineering; Civil engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007310275,0.0001512819,0.00015599,0.00008406099,0.0006347678,0.0001103847,0.0002663879,0.00005323785,0.00007658913],"category_scores_gemma":[0.0002499681,0.0001123549,0.00004576124,0.0001587354,0.00007753778,0.000219658,0.00003666958,0.0005137416,0.0001401299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001230239,"about_ca_system_score_gemma":0.0002247868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9639945,"about_ca_topic_score_gemma":0.2184104,"domain_scores_codex":[0.9979314,0.0001769349,0.0002679324,0.0003303889,0.000800828,0.0004925551],"domain_scores_gemma":[0.9986383,0.0006907325,0.0001409144,0.0002862156,0.0001184199,0.0001253681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000605905,0.000007007718,0.9210936,0.00006400707,0.00002190381,0.00006934904,0.0003425164,0.0180013,0.01067498,0.000003070701,0.03236617,0.01729546],"study_design_scores_gemma":[0.0004341391,0.0002635614,0.5897729,0.000426853,0.00002376579,0.00005337837,0.00253635,0.1314091,0.2622764,0.0003340087,0.01188115,0.0005884149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928937,0.000101938,0.000003370618,0.0007154637,0.0007501394,0.0001832325,0.00002893946,0.00005965435,0.005263574],"genre_scores_gemma":[0.9984792,0.00002310143,0.0003782502,0.0004819293,0.0002109784,5.777077e-7,0.00006813775,0.00000748223,0.0003503711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7455841,"threshold_uncertainty_score":0.7958515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03686701192739134,"score_gpt":0.2745630585752807,"score_spread":0.2376960466478893,"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."}}