{"id":"W3024393293","doi":"","title":"Characterization, Monitoring, and Risk Assessment at the IEA GHG Weyburn-Midale CO2 Monitoring and Storage Project, Saskatchewan, Canada.","year":2008,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Risk assessment; Environmental science; Computer science; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002383137,0.0006431457,0.0003998679,0.001249759,0.001572039,0.001039961,0.001254305,0.0006239827,0.00164962],"category_scores_gemma":[0.001589716,0.0002851161,0.0002630858,0.00209459,0.000480281,0.0008653488,0.0007070875,0.0006702518,0.0004549274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01245568,"about_ca_system_score_gemma":0.01892113,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8827162,"about_ca_topic_score_gemma":0.945461,"domain_scores_codex":[0.9988843,0.0001621403,0.0000279975,0.0001358717,0.000598181,0.0001915356],"domain_scores_gemma":[0.9977517,0.000176385,0.0001188452,0.0001059927,0.001657629,0.00018941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001609801,0.0007000463,0.568694,0.0002177656,0.0003574702,0.000840979,0.001790936,0.03844923,0.09056993,0.002709703,0.07490762,0.2191526],"study_design_scores_gemma":[0.0002931762,0.0005872824,0.6650729,0.0001075671,0.0002871669,0.0002900323,0.003326092,0.07673319,0.1506379,0.002594054,0.09985108,0.0002196902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8668191,0.001905923,0.03274683,0.004430756,0.0001510989,0.00120932,0.05639571,0.001066069,0.03527523],"genre_scores_gemma":[0.9309413,0.0007982153,0.02481299,0.000286082,0.00002003183,0.0003097377,0.01563276,0.000185689,0.02701311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1172838,"threshold_uncertainty_score":0.2359489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486080591625077,"score_gpt":0.2459150561565451,"score_spread":0.2310542502402943,"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."}}