{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00001782082,0.0002358308,0.000185925,0.0001412581,0.0002187076,0.0002002683,0.0002226929,0.0001064901,0.00002208894],"category_scores_gemma":[0.00001566271,0.000286307,0.00009597433,0.0003612598,0.00009420931,0.0005015844,0.00004994861,0.0001584369,0.000007985792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005048248,"about_ca_system_score_gemma":0.0001693284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01655519,"about_ca_topic_score_gemma":0.01435911,"domain_scores_codex":[0.9989054,0.00001389443,0.0001247707,0.000280346,0.0002492432,0.0004264024],"domain_scores_gemma":[0.9992934,0.00004891062,0.00003764933,0.0003243659,0.00003834699,0.0002572591],"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":[0.0005932152,0.0005697497,0.05678524,0.0006158261,0.001815701,0.02322133,0.002977563,0.3000222,0.011599,0.008038842,0.1762674,0.4174939],"study_design_scores_gemma":[0.0003360404,0.00002341981,0.0006085061,0.00003613268,0.00002243788,0.0001278989,0.000366913,0.001845558,0.00131896,0.000005593125,0.9949132,0.0003953635],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3941602,0.0001945317,0.0009384012,0.0001074692,0.0007238351,0.00002530864,0.00002344644,0.0005806866,0.6032462],"genre_scores_gemma":[0.7978221,0.0000790626,0.00003401911,0.0000262447,0.00007985119,4.138649e-7,0.00001165084,0.00003736697,0.2019093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8186457,"threshold_uncertainty_score":0.9999589,"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."}}