{"id":"W4245898952","doi":"10.4095/326980","title":"Measuring, monitoring and verification of geological carbon storage","year":2020,"lang":"en","type":"report","venue":"","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Carbon capture and storage (timeline); Computer science; Carbon fibers; Environmental science; Remote sensing; Geology; Oceanography; Climate change; Algorithm","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":[0.001043144,0.0005026557,0.0002316387,0.0008261182,0.0008401833,0.0004485695,0.0006616738,0.000703673,0.001124587],"category_scores_gemma":[0.00065495,0.0001822988,0.0002046427,0.0008241899,0.0002400514,0.000680881,0.0005177655,0.0004396392,0.0007498311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151496,"about_ca_system_score_gemma":0.002368979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1283509,"about_ca_topic_score_gemma":0.2861222,"domain_scores_codex":[0.9994456,0.00006579964,0.00002327268,0.000106452,0.0002884009,0.00007045664],"domain_scores_gemma":[0.998971,0.00006905165,0.00008849952,0.00008157842,0.0006723564,0.0001175844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001690939,0.002166587,0.6017367,0.000359107,0.0002826641,0.0009544293,0.000959913,0.01309416,0.2243502,0.001423067,0.02917251,0.1238097],"study_design_scores_gemma":[0.0001900369,0.0009901709,0.8611526,0.00003856402,0.0001124422,0.0003572494,0.0007216239,0.01834227,0.08750026,0.0003276085,0.03018782,0.00007938303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9174905,0.0002781963,0.009786633,0.0003728941,0.00007787516,0.0005095723,0.04096391,0.0005431258,0.0299772],"genre_scores_gemma":[0.9421313,0.0001511644,0.01539592,0.00008607333,0.00001870451,0.0003145206,0.03203101,0.00007320941,0.009797978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1283509,"threshold_uncertainty_score":0.2552075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09314019082252709,"score_gpt":0.2921258963273699,"score_spread":0.1989857055048428,"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."}}