{"id":"W1993197553","doi":"10.1002/cjce.21646","title":"In situ upgrading of bitumen and heavy oils via nanocatalysis","year":2012,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates; Shell Canada","keywords":"Asphalt; Upgrade; Environmental science; Oil sands; Waste management; In situ; Petroleum engineering; Materials science; Geology; Chemistry; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.000258354,0.00008877536,0.0002274789,0.0001534168,0.00002632956,0.00002004909,0.0001632425,0.00005929891,0.00002629478],"category_scores_gemma":[0.0001092073,0.00006995513,0.00007429687,0.000197077,0.00004474535,0.0001383037,0.00001056543,0.0002539483,5.562923e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001149891,"about_ca_system_score_gemma":0.00008239553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009183026,"about_ca_topic_score_gemma":0.0001012186,"domain_scores_codex":[0.9993044,0.000004342005,0.0002711513,0.00005167092,0.0001095609,0.0002589016],"domain_scores_gemma":[0.9993976,0.00005249906,0.000102627,0.00009328366,0.00003127653,0.0003226555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000003912759,0.000005702881,0.001074925,0.00006487485,0.00005334686,0.000007739085,0.0003580771,0.0002387659,0.997075,0.00002725955,0.00001405604,0.001076328],"study_design_scores_gemma":[0.0001547219,0.000002434531,0.00003159794,0.0001296587,0.00006490765,0.0001137563,0.00002169799,0.001043208,0.9980225,0.00003540663,0.0002941671,0.00008596884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968753,0.002205575,0.0001010986,0.0003732142,0.00002965273,0.00000194675,0.000001558936,0.000003099319,0.0004085866],"genre_scores_gemma":[0.9995178,0.000005477119,0.0002418853,0.00002267067,0.0001509585,5.301252e-7,7.868343e-7,0.00001057728,0.00004929742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002642549,"threshold_uncertainty_score":0.2852687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005605362998463103,"score_gpt":0.1907285308066789,"score_spread":0.1851231678082158,"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."}}