{"id":"W4205850858","doi":"10.1002/div.5846","title":"Transcanada Corp","year":2007,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural gas; Pipeline transport; Foothills; Electricity; Pipeline (software); Liquefied natural gas; Electricity generation; Transmission system; Electric power system; Business; Engineering; Transmission (telecommunications); Environmental science; Commerce; Power (physics); Waste management; Electrical engineering; Environmental engineering; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002579349,0.0009451213,0.0004813585,0.002080306,0.001440514,0.00292488,0.001104874,0.0008175396,0.5102792],"category_scores_gemma":[0.0007590526,0.0003971949,0.0003704511,0.001436993,0.0003667724,0.001033593,0.001421406,0.001365952,0.2186084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001908378,"about_ca_system_score_gemma":0.001781309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01705024,"about_ca_topic_score_gemma":0.04073514,"domain_scores_codex":[0.9994567,0.00001919793,0.00001435006,0.0001329233,0.0003052017,0.00007163081],"domain_scores_gemma":[0.9994767,0.00003003441,0.00003546655,0.0001019023,0.0002776612,0.0000782227],"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":[0.0002958867,0.0001343416,0.001289068,0.0003212068,0.00001626974,0.0003742751,0.0001127885,0.0008566472,0.004021524,0.03819212,0.5659251,0.3884608],"study_design_scores_gemma":[0.00001401088,0.00002149149,0.0008325652,0.00003877754,0.000004188034,0.0002080703,0.00004863853,0.0004612295,0.0006659543,0.001056002,0.9966427,0.000006421673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002110519,0.0007856878,0.001030516,0.0005530387,0.0002646627,0.0000461526,0.002172348,0.0009179788,0.9921191],"genre_scores_gemma":[0.02172055,0.000954729,0.002555209,0.0002521179,0.00008998437,0.00004678726,0.004647713,0.0005545503,0.9691783],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5102792,"threshold_uncertainty_score":0.6985272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004054660870063939,"score_gpt":0.1748204930963916,"score_spread":0.1707658322263276,"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."}}