{"id":"W1968492254","doi":"10.2118/2005-159","title":"Produced Fluids Separation Using A Coalescer Column","year":2005,"lang":"en","type":"article","venue":"Canadian International Petroleum Conference","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Research Council (Canada)","funders":"Petroleum Technology Research Centre","keywords":"Citation; Column (typography); Settling; Water column; Computer science; Environmental science; Library science; Geology; Telecommunications; Environmental engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008072858,0.0001439213,0.0001154037,0.0002631293,0.00005423878,0.0001211179,0.0002771275,0.00008619361,0.0006902459],"category_scores_gemma":[0.0000394923,0.0001827952,0.00003980308,0.00008795503,0.0000325978,0.0003643381,0.00001408894,0.0001621331,0.0001379936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089152,"about_ca_system_score_gemma":0.0003000565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004751715,"about_ca_topic_score_gemma":0.1038561,"domain_scores_codex":[0.999125,0.00001234712,0.0002071079,0.0002012553,0.0001846333,0.0002696807],"domain_scores_gemma":[0.9994225,0.00001468362,0.00002782205,0.0001765362,0.0001672768,0.0001911873],"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":[0.00003978113,0.00005915088,0.01016863,0.0000846741,0.0003271866,0.00006361772,0.000747508,0.4321031,0.4484392,0.01983742,0.05719643,0.03093329],"study_design_scores_gemma":[0.0001991409,0.00001915779,0.001657776,0.00007313389,0.000009315749,0.00002793758,0.00001969964,0.8018003,0.04560747,0.0002354849,0.1500043,0.0003462801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.916461,0.00006959923,0.01293745,0.0004924162,0.0006758819,0.0001200885,0.00008940601,0.0003182245,0.06883595],"genre_scores_gemma":[0.9939885,0.0000313922,0.00409214,0.0001902588,0.0003012607,0.00003407071,0.00004867014,0.00002892412,0.001284746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4028318,"threshold_uncertainty_score":0.9124961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187067009097155,"score_gpt":0.2613522732182374,"score_spread":0.2426455723085219,"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."}}