{"id":"W2760819881","doi":"10.1002/cjce.23042","title":"Applications of nanotechnology in oil and gas industry: Progress and perspective","year":2017,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Perspective (graphical); Nanotechnology; Petroleum industry; Engineering; Engineering ethics; Materials science; Computer science; Environmental engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001039782,0.00006746706,0.0001345384,0.0001258677,0.00002849434,0.00002520604,0.0002029628,0.0001448643,0.000001632824],"category_scores_gemma":[0.0001122403,0.00005933515,0.00001522032,0.00005700956,0.0001607363,0.00007635236,0.00001646563,0.0004886458,7.199171e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001132107,"about_ca_system_score_gemma":0.00004898307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003768689,"about_ca_topic_score_gemma":0.0003721654,"domain_scores_codex":[0.999643,0.00000235144,0.0001359627,0.00004724061,0.00004283141,0.0001286331],"domain_scores_gemma":[0.9996437,0.00002638465,0.00005330289,0.0001352886,0.00004234162,0.00009895884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002451282,0.00002628752,0.008842879,0.0006210748,0.0002853648,0.0001196415,0.002890382,0.007388777,0.4216066,0.03897569,0.0001764478,0.5190423],"study_design_scores_gemma":[0.0008342282,0.00007873226,0.002774307,0.0009259299,0.00005368113,0.0006115001,0.0002116627,0.0165492,0.9589471,0.0151175,0.003388718,0.0005075029],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966008,0.001696886,0.0002566795,0.0009956689,0.00003117687,0.00003225668,0.000003545934,0.00001981769,0.0003631508],"genre_scores_gemma":[0.9987025,0.00006778917,0.00117287,0.000003315234,0.00002873934,0.000008084909,8.716232e-8,0.00001202177,0.000004605894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5373404,"threshold_uncertainty_score":0.2419617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005042783529740778,"score_gpt":0.2148968664011029,"score_spread":0.2098540828713622,"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."}}