{"id":"W2490517287","doi":"10.2118/2004-096","title":"Monitoring and Predicting CO2 Flooding Using Material Balance Equation","year":2004,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"University of Regina","keywords":"Flooding (psychology); Balance (ability); Environmental science; Computer science; Psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000908026,0.00009238014,0.00006601749,0.0000734773,0.0001940509,0.0001547286,0.0001419905,0.0000485453,0.00175111],"category_scores_gemma":[0.00007386417,0.0001035851,0.00001743658,0.00005414289,0.00007290643,0.000378894,0.00004666599,0.000106531,0.00007135758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006675696,"about_ca_system_score_gemma":0.0001034065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08315296,"about_ca_topic_score_gemma":0.03437402,"domain_scores_codex":[0.9992498,0.00001508924,0.0001569926,0.0002151811,0.0001673957,0.0001955508],"domain_scores_gemma":[0.999648,0.0000159698,0.00006380874,0.00007772459,0.0000305809,0.0001639183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002510527,0.00003064356,0.7776588,0.000006823764,0.00003837466,0.00005902094,0.0009241186,0.1491068,0.05271111,0.01799926,0.00008551533,0.001354442],"study_design_scores_gemma":[0.001675031,0.0001326115,0.6533618,0.0003835103,0.00004357085,0.0004050448,0.001367439,0.3024702,0.01519649,0.01420328,0.009775023,0.0009859923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751925,0.000004043494,0.001648117,0.001014968,0.001047175,0.00005248847,0.00002604786,0.0000278318,0.02098676],"genre_scores_gemma":[0.998119,0.000009484736,0.001294087,0.00008928985,0.0001906526,0.000008089522,0.00001505142,0.000005758197,0.0002685829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1533634,"threshold_uncertainty_score":0.9991614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03144811648537258,"score_gpt":0.2559466727221797,"score_spread":0.2244985562368071,"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."}}