{"id":"W4244773313","doi":"10.1002/div.2908","title":"Enbridge Inc.","year":2005,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Marine and Offshore Engineering Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline transport; Natural gas; Business; Fossil fuel; Distribution (mathematics); Pipeline (software); Engineering; Commerce; Waste management; Mechanical engineering","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":[0.00007994767,0.000179286,0.000153368,0.00008259122,0.00006043564,0.00001791371,0.0001531344,0.00004210102,0.0004303926],"category_scores_gemma":[0.00001461925,0.0001770751,0.00006657437,0.0001184373,0.00001762774,0.000140005,0.00006574098,0.0001425167,0.000455762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005597333,"about_ca_system_score_gemma":0.000004240754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001723483,"about_ca_topic_score_gemma":0.00003695998,"domain_scores_codex":[0.99922,0.00000689224,0.0001749748,0.0001388031,0.0001595695,0.0002997866],"domain_scores_gemma":[0.9996842,0.00002119462,0.00001151471,0.0001864336,0.000010275,0.0000864102],"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":[0.00001185829,0.00008408276,0.01309866,0.0001800158,0.0005474196,0.00002459337,0.0008158041,0.2527528,0.002452695,0.003421237,0.6252295,0.1013813],"study_design_scores_gemma":[0.0002045281,0.00001440268,0.01358592,0.00001104479,0.00002754118,0.000002760462,0.00002503297,0.0108825,0.002176929,0.00002757793,0.9727349,0.0003068369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8735555,0.005724055,0.01216132,0.002393645,0.004391911,0.0004187306,0.00005062844,0.003231176,0.09807308],"genre_scores_gemma":[0.9967125,0.0005447695,0.0007778911,0.00009668988,0.0004664058,0.0000185684,0.00001476633,0.0000376552,0.001330758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3475055,"threshold_uncertainty_score":0.7220913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005696458945301664,"score_gpt":0.1839570541498504,"score_spread":0.1782605952045487,"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."}}