{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002252877,0.0001586505,0.0001271026,0.000121363,0.00006129826,0.0000174729,0.0001431666,0.00008551617,0.0003333129],"category_scores_gemma":[0.00001087756,0.0001605676,0.00006626114,0.0002707816,0.00001719192,0.0001378242,0.000006390895,0.0001310797,0.00008499593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001436027,"about_ca_system_score_gemma":0.00001256561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006058628,"about_ca_topic_score_gemma":0.001835438,"domain_scores_codex":[0.9990417,0.00001390762,0.0002538041,0.0001368997,0.000218573,0.0003351409],"domain_scores_gemma":[0.9996337,0.0000223632,0.00002246343,0.000168469,0.00002990836,0.0001231226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002561352,0.00003075701,0.00314785,0.00007659481,0.0002382893,0.00005307887,0.0005916317,0.9276056,0.02131169,0.003177631,0.03625791,0.007483329],"study_design_scores_gemma":[0.002188777,0.0001419062,0.0203796,0.0002432369,0.0002148888,0.00005749671,0.001556276,0.1423468,0.2049318,0.0002178411,0.6252372,0.002484243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5450943,0.0008088776,0.3425281,0.0001703162,0.007873504,0.000350114,0.00003070128,0.001427167,0.1017169],"genre_scores_gemma":[0.9979592,0.00004869963,0.0007857287,0.00005741554,0.0001142129,0.000006003107,0.00003285551,0.00004428769,0.0009516248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7852588,"threshold_uncertainty_score":0.6547757,"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."}}