{"id":"W2123718036","doi":"10.1190/1.2399274","title":"Time-lapse seismic reservoir monitoring technology in China","year":2006,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Geology; China; Seismology; Geography; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002085432,0.0001708536,0.0001581437,0.0009048695,0.000219234,0.0002476443,0.0003885492,0.0001452533,0.0008190095],"category_scores_gemma":[0.0003082649,0.0001183566,0.00007081604,0.00131994,0.00009297502,0.0004305998,0.000277771,0.00009143783,0.0001644078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004470812,"about_ca_system_score_gemma":0.0007118552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01569596,"about_ca_topic_score_gemma":0.02516341,"domain_scores_codex":[0.9998806,0.00000851015,0.000005629084,0.00003237276,0.00005849396,0.00001442866],"domain_scores_gemma":[0.9998394,0.000009064373,0.00003323984,0.0000208459,0.00007485358,0.00002250603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002430961,0.000145471,0.1787185,0.0002067918,0.0000621244,0.0006782551,0.0005093071,0.01864283,0.2555458,0.002881978,0.003645567,0.5387203],"study_design_scores_gemma":[0.00006698619,0.0004521864,0.5737732,0.00003320975,0.0001563306,0.0009861928,0.0004194162,0.2814361,0.1180465,0.001704888,0.0228483,0.00007667241],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612064,0.0004445959,0.02994536,0.0001385512,0.00001452754,0.00003925972,0.0009472535,0.0003724369,0.00689163],"genre_scores_gemma":[0.9823287,0.0002770192,0.0143671,0.00001634204,0.0000105582,0.0000281895,0.0006075976,0.000009198577,0.002355267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01569596,"threshold_uncertainty_score":0.03120917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145852365228698,"score_gpt":0.2255884808633518,"score_spread":0.2141299572110649,"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."}}