{"id":"W2810850148","doi":"10.4095/308297","title":"Measuring, monitoring and verifying of geological carbon storage","year":2018,"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; Carbon capture and storage (timeline); Computer science; Geology; Oceanography; Climate change","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":[0.000905246,0.0003412189,0.0002796974,0.002309017,0.0008046536,0.0007390066,0.0006658036,0.0004451208,0.001136065],"category_scores_gemma":[0.001988107,0.0001780693,0.0001615207,0.002376098,0.0004392812,0.0009050976,0.0006622081,0.0004311286,0.0004390213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338622,"about_ca_system_score_gemma":0.002484722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03574403,"about_ca_topic_score_gemma":0.08550809,"domain_scores_codex":[0.998969,0.00008581168,0.00006146303,0.0001502874,0.0006515374,0.00008197826],"domain_scores_gemma":[0.9975784,0.0002531817,0.0003380586,0.0002307824,0.001478276,0.0001212706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003647255,0.0002011574,0.557435,0.0005954305,0.0001107985,0.0005192028,0.001315222,0.01720191,0.1848465,0.002852989,0.006011063,0.228546],"study_design_scores_gemma":[0.00004894872,0.000570592,0.6162313,0.0001879964,0.000115625,0.0006422945,0.002235437,0.07273932,0.2635231,0.00238855,0.04113242,0.0001844357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9223659,0.000643652,0.04127914,0.0004577746,0.00007626841,0.0002609028,0.00736613,0.002265201,0.02528501],"genre_scores_gemma":[0.9722992,0.0003070791,0.02374605,0.00005183527,0.00001159468,0.00006300316,0.001637795,0.00006381122,0.00181967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03574403,"threshold_uncertainty_score":0.07107198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09847073931262597,"score_gpt":0.3070594567218713,"score_spread":0.2085887174092454,"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."}}