{"id":"W2043184897","doi":"10.2118/127421-ms","title":"Evaluation and Field Optimisation of Kinetic Hydrate Inhibitors for Application Within MEG Recovery Units, Gas Condensate Field, Mediterranean Sea","year":2010,"lang":"en","type":"article","venue":"North Africa Technical Conference and Exhibition","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nalcor Energy (Canada)","funders":"","keywords":"Hydrate; Clathrate hydrate; Reduction (mathematics); Environmental science; Field (mathematics); Process engineering; Computer science; Chemistry; Engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006888775,0.0001301424,0.0001591663,0.00005067451,0.0001031537,0.00002794643,0.00007771042,0.0002091393,0.0001922926],"category_scores_gemma":[0.0002862213,0.0001118907,0.00002623105,0.0002030683,0.0001244852,0.0001804768,0.00005359856,0.0002364634,0.000004488727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002031661,"about_ca_system_score_gemma":0.00002631412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001395712,"about_ca_topic_score_gemma":0.0005466052,"domain_scores_codex":[0.9988506,0.00006035901,0.0003281856,0.0003140514,0.0002940548,0.000152771],"domain_scores_gemma":[0.9992375,0.0001871655,0.0001949106,0.0001777622,0.00010619,0.00009650339],"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":[0.000309475,0.0001259645,0.006108597,0.0001099083,0.00002948594,9.925943e-7,0.001348777,0.001140132,0.6692964,0.001487795,0.000934058,0.3191084],"study_design_scores_gemma":[0.005298134,0.005542897,0.02580363,0.0003327644,0.0009663483,0.00005967012,0.0006995621,0.4841454,0.3498398,0.1200354,0.00549762,0.001778811],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906277,0.00003536929,0.005533508,0.0005041632,0.0001037864,0.0007577435,0.00001327891,0.00003393654,0.00239049],"genre_scores_gemma":[0.9980302,0.0000813314,0.001514258,0.00008218848,0.00004261916,0.0001177134,0.00009916761,0.0000083117,0.00002423529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4830053,"threshold_uncertainty_score":0.4562772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03248214697657192,"score_gpt":0.2508498705260375,"score_spread":0.2183677235494655,"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."}}