{"id":"W4243613873","doi":"10.1002/div.3731","title":"Imperial Oil Ltd.","year":2006,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Marine and Offshore Engineering Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petrochemical; Crude oil; Petroleum; Natural gas; Petroleum product; Petroleum industry; Oil refinery; Barrel (horology); Fossil fuel; Environmental science; Waste management; Petroleum engineering; Business; Pulp and paper industry; Engineering; Chemistry; Environmental engineering; Organic 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":[],"consensus_categories":[],"category_scores_codex":[0.00007159339,0.0002023871,0.0001768783,0.00007655669,0.00007281899,0.00002714396,0.0001437699,0.00005305869,0.0003130314],"category_scores_gemma":[0.00001266005,0.0001982195,0.00009967622,0.0001392785,0.00002270221,0.00009571717,0.0000562553,0.0001212395,0.0001424393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004694735,"about_ca_system_score_gemma":0.000005276257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001495948,"about_ca_topic_score_gemma":0.0000684909,"domain_scores_codex":[0.9991232,0.000008030777,0.0002029016,0.0001567602,0.0001776154,0.0003315102],"domain_scores_gemma":[0.9997136,0.00002057213,0.00001419693,0.0001816139,0.00001428573,0.00005572613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003284948,0.000121492,0.02403219,0.0003871669,0.0005015038,0.0000756671,0.0004047921,0.211369,0.02579392,0.005280836,0.6996553,0.03234527],"study_design_scores_gemma":[0.0007728492,0.00003721193,0.03239559,0.00003378651,0.00008376066,0.000006427128,0.00004994923,0.004938033,0.008962632,0.0002883853,0.9515935,0.0008379357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9241319,0.001666033,0.001306777,0.0002405092,0.004481091,0.0000695168,0.00002141956,0.00113281,0.06694991],"genre_scores_gemma":[0.9943501,0.0003130543,0.0004034986,0.00002355055,0.0008219028,0.00002154429,0.00002513518,0.00004504875,0.003996185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2519381,"threshold_uncertainty_score":0.8083158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004048089955215069,"score_gpt":0.1756295885828898,"score_spread":0.1715814986276747,"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."}}