{"id":"W2042114882","doi":"10.1190/1.1599699","title":"Multicomponent seismic characterization and monitoring of the CO2 flood at Weyburn Field, Saskatchewan","year":2003,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flood myth; Geology; Field (mathematics); Characterization (materials science); Environmental science; Petroleum engineering; Mining engineering; Seismology; Geography; Materials science; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002193016,0.00006749829,0.0000821508,0.0000227358,0.0001995819,0.00001926218,0.0001355255,0.00003185775,0.00005569708],"category_scores_gemma":[0.00003345461,0.00003870753,0.00002791257,0.00007438945,0.0000636944,0.00006374167,0.00001510397,0.00009928634,0.0000255792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005271517,"about_ca_system_score_gemma":0.00001225132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004677259,"about_ca_topic_score_gemma":0.00001023991,"domain_scores_codex":[0.999494,0.00008404113,0.0001045319,0.00009727398,0.00009877695,0.0001213976],"domain_scores_gemma":[0.9996324,0.0001040833,0.00006377781,0.0001617235,0.00001295876,0.0000250616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002174407,0.00001482904,0.8762138,0.00003767438,0.00002034297,0.000001197145,0.004896751,0.0001248185,0.0475268,0.00002490953,0.002115127,0.06900194],"study_design_scores_gemma":[0.0003153134,0.00006628158,0.2406934,0.0001417083,0.00003612299,0.00003649422,0.001087739,0.01593678,0.6775462,0.0002583562,0.06368017,0.0002014392],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970987,0.0001480408,0.0004453653,0.000872009,0.0004905871,0.00008972087,0.000005060578,0.00003340085,0.0008170509],"genre_scores_gemma":[0.9975041,0.00004085203,0.0001777525,0.0006281972,0.00005010168,5.369998e-7,0.000004295903,0.000002554416,0.001591665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6355205,"threshold_uncertainty_score":0.1578447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450738176117625,"score_gpt":0.2114743269401832,"score_spread":0.1969669451790069,"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."}}