{"id":"W4237861460","doi":"10.4095/314923","title":"Measuring, monitoring and verification of geological carbon storage","year":2019,"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":"Environmental science; Computer science; Geology; Earth science; Remote sensing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006046405,0.0003751134,0.0003069721,0.002117174,0.0006538171,0.0006158442,0.0005940418,0.0005457849,0.001149866],"category_scores_gemma":[0.001228004,0.0001996962,0.0001710053,0.002237742,0.0003815648,0.0007977864,0.0006921105,0.0004357674,0.0005157214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009170955,"about_ca_system_score_gemma":0.001513851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02237618,"about_ca_topic_score_gemma":0.06006248,"domain_scores_codex":[0.9993638,0.00003770989,0.00003867306,0.0001080044,0.0003849494,0.00006681723],"domain_scores_gemma":[0.9987833,0.0001077655,0.0001820202,0.0001163909,0.0007267552,0.00008377663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000431379,0.0002410994,0.4906466,0.0006140878,0.0001247401,0.0005919606,0.001141771,0.01659246,0.3206116,0.00198897,0.00414518,0.1628701],"study_design_scores_gemma":[0.00005502844,0.0005276781,0.5956489,0.0001464641,0.0001073173,0.0005837901,0.001429169,0.0726134,0.3028474,0.001426132,0.02445633,0.0001584176],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9497242,0.0004257906,0.02496298,0.0002250913,0.00005467069,0.0001689616,0.008073902,0.001296455,0.01506791],"genre_scores_gemma":[0.9761876,0.0002730771,0.01951823,0.00004603924,0.00001058249,0.0000791627,0.00227075,0.00005940627,0.001555072],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02237618,"threshold_uncertainty_score":0.04449189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07968345682873897,"score_gpt":0.2918061885541063,"score_spread":0.2121227317253673,"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."}}