{"id":"W2064524778","doi":"10.2118/157802-ms","title":"Real-Time Imaging of SAGD Steam Conformance By Using White Noise Reflection Processes","year":2012,"lang":"en","type":"article","venue":"SPE Heavy Oil Conference Canada","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Classification of discontinuities; Noise (video); Computer science; Reflection (computer programming); Acoustics; White noise; Image resolution; Process (computing); Geology; Computer vision; Telecommunications; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003311381,0.0003143193,0.0001899679,0.0004437619,0.00009841844,0.000483846,0.000327644,0.0003353268,0.0009299646],"category_scores_gemma":[0.0006399756,0.0002200742,0.0001582499,0.0004261977,0.0003879348,0.0004532,0.0005596378,0.0002792053,0.000233382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002022422,"about_ca_system_score_gemma":0.0002199362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006334969,"about_ca_topic_score_gemma":0.001103338,"domain_scores_codex":[0.9998287,0.00003184133,0.000005390716,0.00003041231,0.00008428373,0.00001938093],"domain_scores_gemma":[0.9997061,0.00009286807,0.00006051489,0.00004242029,0.00007533377,0.0000227844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002826842,0.00006678372,0.002237746,0.00006749365,0.00002621485,0.000186963,0.0002226712,0.02391599,0.9095111,0.001995082,0.0004038257,0.06108356],"study_design_scores_gemma":[0.00005663241,0.0003182717,0.005210023,0.00001476052,0.00003046713,0.0002906911,0.0001539238,0.5043101,0.4854745,0.001286102,0.002797855,0.00005661908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6203784,0.00009969022,0.3747873,0.0001216278,0.00002644146,0.00003504706,0.0001162772,0.001043534,0.003391617],"genre_scores_gemma":[0.866623,0.0001065989,0.131677,0.00003722723,0.00001360085,0.00002064331,0.0001041923,0.00006515861,0.001352437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009299646,"threshold_uncertainty_score":0.003111005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781048977659781,"score_gpt":0.2302231350286005,"score_spread":0.2124126452520027,"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."}}