{"id":"W4245597856","doi":"10.2118/2009-177","title":"Geomechanical Data Acquisition, Monitoring and Applications in SAGD","year":2009,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Statoil; Suncor Energy Incorporated","keywords":"Data acquisition; Computer science; Petroleum engineering; Geology; Operating system","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0006496735,0.000316942,0.0002362522,0.001052434,0.000274556,0.0004766192,0.0007049325,0.0002926114,0.002993325],"category_scores_gemma":[0.00112603,0.0002424059,0.0001849337,0.001141498,0.0003022668,0.0003671418,0.0007955544,0.0002208465,0.00066633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00081928,"about_ca_system_score_gemma":0.0008464073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01301536,"about_ca_topic_score_gemma":0.01607911,"domain_scores_codex":[0.9995238,0.0000696016,0.0000262627,0.00006136593,0.000286387,0.00003258617],"domain_scores_gemma":[0.9993278,0.0001284761,0.00005646475,0.0001210631,0.0003363066,0.00002993606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004483311,0.0001493174,0.04348084,0.0004436073,0.00003435021,0.0002038565,0.0004640061,0.06977581,0.1404647,0.002698528,0.004038555,0.7377981],"study_design_scores_gemma":[0.0001024891,0.00070505,0.09822182,0.0001904908,0.00007271487,0.0003949848,0.0005422057,0.5597044,0.2618876,0.003022116,0.07500564,0.000150497],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2633747,0.0003708459,0.7066492,0.0002648653,0.00007251585,0.0005580467,0.004880743,0.01415121,0.009677784],"genre_scores_gemma":[0.7531983,0.0002185816,0.2420584,0.00005050381,0.0000106855,0.0002177797,0.001996014,0.0001566781,0.002093126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01301536,"threshold_uncertainty_score":0.0258792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02123760076876638,"score_gpt":0.2512498721405683,"score_spread":0.2300122713718019,"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."}}