{"id":"W1969478139","doi":"10.2118/05-08-02","title":"Pipeline Backbone for Carbon Dioxide for Enhanced Oil Recovery in Western Canada","year":2005,"lang":"en","type":"article","venue":"Journal of Canadian Petroleum Technology","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Pennsylvania","keywords":"Pipeline transport; Enhanced oil recovery; Crude oil; Pipeline (software); Petroleum industry; Fossil fuel; Environmental science; Carbon dioxide; Business; Natural resource economics; Waste management; Petroleum engineering; Engineering; Environmental engineering; Economics","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":[0.0001895217,0.00009732127,0.0002033756,0.0005735971,0.0000489987,0.000008170874,0.0002139911,0.0001268104,0.0001851744],"category_scores_gemma":[0.0001956542,0.00009576009,0.00005612549,0.0002755542,0.00005129254,0.0001066601,0.0000143802,0.0002129218,0.000004232023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001410261,"about_ca_system_score_gemma":0.0005185861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6365077,"about_ca_topic_score_gemma":0.9994959,"domain_scores_codex":[0.9990064,0.00001327321,0.0004119291,0.0001322131,0.0001032274,0.0003329556],"domain_scores_gemma":[0.9994239,0.00006205089,0.0002017677,0.000123634,0.00004198642,0.0001467194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001114222,0.0004470885,0.05758618,0.00006727986,0.0001800954,0.0003507592,0.0003692349,0.09287283,0.1476322,0.001838191,0.1856618,0.5118801],"study_design_scores_gemma":[0.001010904,0.0002895564,0.002708811,0.00002423894,0.00001499597,0.0001366883,0.0001361641,0.000950758,0.01316238,0.0005259134,0.9808722,0.0001674136],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9275624,0.00008351099,0.0008576023,0.05976886,0.0004693446,0.0001025028,0.00003432441,0.00001185386,0.01110966],"genre_scores_gemma":[0.987938,0.0000408528,0.002212764,0.0009588656,0.000115293,0.00002554803,0.000003221962,0.000009140811,0.008696339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7952104,"threshold_uncertainty_score":0.3904983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006867569414794484,"score_gpt":0.217707745608569,"score_spread":0.2108401761937745,"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."}}