{"id":"W4233747619","doi":"10.1002/div.3726","title":"Enbridge Inc","year":2006,"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":[0.0000666775,0.000177402,0.0001520288,0.00008230595,0.00006175965,0.00001998059,0.0001302904,0.00004113107,0.0002039224],"category_scores_gemma":[0.000008203089,0.0001756628,0.00006953507,0.0001396106,0.00001925464,0.00009200309,0.00005472058,0.000118115,0.0001822201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004183425,"about_ca_system_score_gemma":0.00000376677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001447094,"about_ca_topic_score_gemma":0.00006170932,"domain_scores_codex":[0.9992257,0.000006791714,0.0001800792,0.0001372358,0.0001583841,0.0002917894],"domain_scores_gemma":[0.9997377,0.00002101208,0.00001241693,0.0001695427,0.00001028412,0.000048979],"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":[0.000008930047,0.00007906229,0.04787589,0.0002153987,0.000288289,0.00005604882,0.0001611373,0.1847712,0.004032001,0.009359398,0.7450287,0.008123851],"study_design_scores_gemma":[0.0003644832,0.00002451386,0.1271544,0.00002058431,0.00005250521,0.000004654821,0.00002923843,0.007134827,0.004026967,0.0004395524,0.8601686,0.0005797425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8699613,0.003347613,0.01150428,0.0005104876,0.003964045,0.0002875512,0.00004237518,0.002253788,0.1081286],"genre_scores_gemma":[0.9974585,0.0001622877,0.0003164029,0.00002775477,0.0003452497,0.00001789518,0.00002979126,0.00003629461,0.0016058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1776364,"threshold_uncertainty_score":0.7163321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003203319443572381,"score_gpt":0.1582974619816574,"score_spread":0.155094142538085,"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."}}