{"id":"W4233334930","doi":"10.2118/19271-ms","title":"Produced Water Discharge Monitoring","year":2007,"lang":"en","type":"article","venue":"Proceedings of Offshore Technology Conference","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Citation; Library science; Download; History; Archaeology; World Wide Web; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008098627,0.0005959217,0.0005765868,0.003621961,0.00142101,0.003281913,0.0009513938,0.0007691529,0.09765191],"category_scores_gemma":[0.003136399,0.0002904069,0.0003494433,0.00655913,0.00037971,0.001790071,0.001629762,0.0009235352,0.04991034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00366428,"about_ca_system_score_gemma":0.006710108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1778677,"about_ca_topic_score_gemma":0.2128488,"domain_scores_codex":[0.9981444,0.00008380884,0.00009026929,0.0002181312,0.001283223,0.0001801519],"domain_scores_gemma":[0.9955901,0.0002546584,0.0002889745,0.0003312366,0.003260638,0.000274465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001014667,0.00003148036,0.007072726,0.0002795206,0.00001063963,0.0001065564,0.0001621683,0.0002255218,0.0009391325,0.0009724559,0.8170355,0.1730628],"study_design_scores_gemma":[0.00001161836,0.00002252056,0.02403772,0.000194816,0.00001236522,0.00006777163,0.0002672517,0.0004740348,0.001544381,0.000243193,0.9730995,0.00002485653],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0131624,0.003232174,0.00504048,0.005512387,0.001259,0.0006766209,0.162948,0.007755626,0.8004134],"genre_scores_gemma":[0.08316375,0.007901693,0.007232971,0.001466121,0.0006204313,0.0003846544,0.1161515,0.001703223,0.7813756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1778677,"threshold_uncertainty_score":0.3536648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01970792038166614,"score_gpt":0.2321196971661891,"score_spread":0.212411776784523,"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."}}