{"id":"W6980795037","doi":"","title":"Cross-Border Oil & Gas Canada-U.S. energy trade.","year":2001,"lang":"en","type":"article","venue":"Pace Digital Repository (Pace University)","topic":"Dyeing and Modifying Textile Fibers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Fossil fuel; Petroleum; Fuel oil; Work (physics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0002194812,0.0003782629,0.0002521444,0.002857429,0.001855661,0.002770113,0.0005685862,0.0007112016,0.07069211],"category_scores_gemma":[0.00118285,0.0002094123,0.0001984618,0.01347998,0.0002911968,0.000772313,0.000500961,0.0006726249,0.008201811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01495641,"about_ca_system_score_gemma":0.03600712,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9692309,"about_ca_topic_score_gemma":0.9885252,"domain_scores_codex":[0.9996796,0.000005559685,0.000008307157,0.00002708576,0.0001889932,0.00009046945],"domain_scores_gemma":[0.9989603,0.00005644248,0.0000433551,0.00002026315,0.0008198853,0.00009977014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007963236,0.00005569716,0.01519159,0.0002505747,0.00001529931,0.0002283356,0.000290303,0.0004080341,0.0001539297,0.009378704,0.9059556,0.06799234],"study_design_scores_gemma":[0.00001638933,0.000009508138,0.09279843,0.0002450545,0.00001951561,0.0001134086,0.001105437,0.0004326551,0.0006293769,0.001198711,0.9034141,0.00001755776],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02695006,0.01257798,0.0006260082,0.008149269,0.001027955,0.00008936442,0.2629896,0.00040898,0.6871807],"genre_scores_gemma":[0.1403319,0.01468984,0.001825038,0.001356197,0.0001037569,0.00006129799,0.08827583,0.0001697137,0.7531863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07069211,"threshold_uncertainty_score":0.2364887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004481585975982871,"score_gpt":0.1905378815989041,"score_spread":0.1860562956229212,"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."}}