{"id":"W7006441330","doi":"","title":"Suncor Energy successfully resolves $1.3 billion tax dispute with Canada Revenue Agency","year":2016,"lang":"en","type":"other","venue":"","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Revenue; Energy (signal processing); Payment; Tax revenue","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001661746,0.0004767399,0.0003838849,0.001728809,0.01003336,0.006026969,0.001421211,0.005096478,0.1123483],"category_scores_gemma":[0.005744473,0.0004881937,0.0005844847,0.001223071,0.001402236,0.001263459,0.00199125,0.005185281,0.02542351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02350355,"about_ca_system_score_gemma":0.08968842,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8804156,"about_ca_topic_score_gemma":0.9663064,"domain_scores_codex":[0.9970182,0.00005527122,0.00003378204,0.000126526,0.001901277,0.0008649864],"domain_scores_gemma":[0.994718,0.0002821348,0.0000505005,0.0001740216,0.003422098,0.001353283],"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":[0.00002650081,0.00003046716,0.0009893479,0.00001572168,0.000004881775,0.0001422984,0.00008567941,0.000097944,0.0002215803,0.01479047,0.9687331,0.01486199],"study_design_scores_gemma":[0.00001464004,0.000008693224,0.001352565,0.00003896107,0.000006008966,0.00006095329,0.0002920528,0.0002950528,0.0004851586,0.001068242,0.9963616,0.000016011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006845596,0.0006769098,0.0008364733,0.0440685,0.001716716,0.0002181428,0.002702511,0.0008015308,0.9421336],"genre_scores_gemma":[0.01767062,0.0004494226,0.0004285753,0.006317237,0.0001402521,0.00002490971,0.0009222925,0.000296565,0.9737502],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1195844,"threshold_uncertainty_score":0.3758426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006374950980849409,"score_gpt":0.2334708481071831,"score_spread":0.2270958971263337,"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."}}