{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001517497,0.000215112,0.000148969,0.0006397924,0.0006737046,0.0002933309,0.000475354,0.0002925249,0.0008494605],"category_scores_gemma":[0.0002601006,0.0001929551,0.00006945087,0.001108427,0.0003745701,0.0002832475,0.0003858496,0.000366829,0.0001199971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702697,"about_ca_system_score_gemma":0.002582197,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5600659,"about_ca_topic_score_gemma":0.8799198,"domain_scores_codex":[0.9999071,0.000007935252,0.000003213782,0.00002613518,0.00002695505,0.00002866645],"domain_scores_gemma":[0.9997876,0.00003019766,0.00001814589,0.00001751584,0.00009534118,0.00005120537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007836029,0.0003951793,0.4697405,0.0001230995,0.0001368865,0.003761934,0.004129485,0.01979591,0.4015622,0.001163186,0.004553287,0.09385471],"study_design_scores_gemma":[0.00004559822,0.0001016334,0.9519534,0.00001678961,0.00002958862,0.0002707338,0.002939359,0.01999146,0.02103994,0.0002772296,0.003266966,0.00006737232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976804,0.00002146265,0.0003958872,0.00007986977,0.000001880404,0.00001056367,0.000439316,0.00001838789,0.001352273],"genre_scores_gemma":[0.9972723,0.00005446899,0.001007929,0.0000269773,0.000001333369,0.00001584038,0.0004708092,0.000008169395,0.001142202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4399341,"threshold_uncertainty_score":0.8850499,"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."}}