{"id":"W2184656431","doi":"","title":"Eni Slurry Technology: A new process for heavy oil upgrading","year":2008,"lang":"en","type":"article","venue":"19th World Petroleum Congress","topic":"Oil and Gas Production Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Raw material; Waste management; Refinery; Petroleum; Slurry; Environmental science; Engineering; Residual oil; Environmental engineering; Petroleum engineering; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001044177,0.000273214,0.000329881,0.0005857736,0.000232451,0.00003273083,0.0003112897,0.0001238078,0.00006738104],"category_scores_gemma":[0.00004491811,0.0002797487,0.00009985085,0.0006255453,0.0001112237,0.0002235406,0.00003190242,0.0003171747,0.00003263673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006913857,"about_ca_system_score_gemma":0.00005898345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000142215,"about_ca_topic_score_gemma":0.00004465557,"domain_scores_codex":[0.9986687,0.000008956606,0.0003079007,0.0003581329,0.0001709612,0.0004853244],"domain_scores_gemma":[0.999311,0.00003601548,0.00006027006,0.0003690381,0.00009008641,0.0001335672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000377569,0.0002856713,0.02283697,0.001889341,0.000561838,0.0001148826,0.001552258,0.009011892,0.007453807,0.004857207,0.4423625,0.5086961],"study_design_scores_gemma":[0.001201257,0.0001130742,0.000169247,0.0002262164,0.00004898696,0.0001747776,0.00009557341,0.004158174,0.307539,0.003266129,0.6822022,0.0008054424],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9139521,0.009137374,0.005012202,0.009731157,0.006026757,0.000629422,0.0000768787,0.01560487,0.03982922],"genre_scores_gemma":[0.951034,0.0002409653,0.003139555,0.00009361714,0.0006128087,0.0002732631,0.00001275779,0.0000873793,0.04450565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5078906,"threshold_uncertainty_score":0.9999655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01769276709582287,"score_gpt":0.2507710022311523,"score_spread":0.2330782351353295,"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."}}