{"id":"W4237299589","doi":"10.1002/div.3744","title":"Terasen Inc","year":2006,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Corporate Governance and Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline transport; Natural gas; Fossil fuel; Petroleum; Business; Wastewater; Subsidiary; Irrigation; Environmental science; Finance; Engineering; Environmental engineering; Waste management; Geology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001465168,0.0001817779,0.0001541188,0.0001101613,0.0001771999,0.0001856748,0.000243822,0.00004667553,0.001578424],"category_scores_gemma":[0.00001596753,0.0001670262,0.00009686308,0.0003366955,0.00003996323,0.00100632,0.0001542556,0.00009879274,0.002107977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000304551,"about_ca_system_score_gemma":0.00001170505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005139044,"about_ca_topic_score_gemma":0.0009375524,"domain_scores_codex":[0.9988571,0.000005483919,0.0002372859,0.0002707632,0.0003143408,0.0003150041],"domain_scores_gemma":[0.999519,0.00001173051,0.0001870014,0.0002321274,0.0000382955,0.00001184707],"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":[0.00005225558,0.0002226445,0.3352942,0.00008623732,0.00004251381,0.00007419364,0.00001431085,0.0003389044,0.003192278,0.119581,0.5360523,0.005049084],"study_design_scores_gemma":[0.0003909887,0.000004205576,0.1213332,0.0000187798,0.00004204259,8.148011e-7,0.00002645677,0.0002347013,0.000179547,0.005609255,0.8718856,0.0002743821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9343423,0.0001611301,0.0001954859,0.002675996,0.001129644,0.000180956,0.000008784026,0.0002155475,0.06109013],"genre_scores_gemma":[0.9927495,0.00001142745,0.00004511818,0.001917787,0.00192301,0.0000125168,0.00009700948,0.00002642878,0.003217202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3358333,"threshold_uncertainty_score":0.9993343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00984466547213457,"score_gpt":0.181728310836435,"score_spread":0.1718836453643005,"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."}}