{"id":"W6980390474","doi":"","title":"Canadian oil pipeline congestion sets up lucrative storage play","year":2019,"lang":"en","type":"other","venue":"","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Pipeline transport; Production (economics); Petroleum; Petroleum industry","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005870682,0.0003281004,0.0002947561,0.000479099,0.00002040372,0.0000379926,0.0001301712,0.0006274686,0.003330043],"category_scores_gemma":[0.00001514685,0.0003127496,0.00003604836,0.0001582625,0.00001132016,0.00005492786,0.00000625846,0.0002514107,0.001839439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006386879,"about_ca_system_score_gemma":0.000161351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2401649,"about_ca_topic_score_gemma":0.6363022,"domain_scores_codex":[0.9991372,0.00003302921,0.0001950626,0.000221712,0.0001302376,0.0002827819],"domain_scores_gemma":[0.999433,0.00001317699,0.00005469539,0.0002967385,0.00006600725,0.000136358],"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":[7.958264e-7,0.000001290621,0.000001873632,0.00005823123,0.00004582798,0.000006197453,0.0000767836,0.1979203,0.00001225772,0.0005116389,0.8007854,0.0005793932],"study_design_scores_gemma":[0.0002183209,0.000008697585,0.000002608122,0.0003038406,0.00002126844,0.000006311693,0.00006998586,0.1542774,0.00006378404,0.000002332055,0.8445792,0.0004462505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000718019,0.0003381154,0.008275487,0.00004666679,0.003603295,0.0001400662,0.0001896117,0.0008420584,0.9865575],"genre_scores_gemma":[0.00414358,0.00008555858,0.0005580171,0.00007650344,0.0002516237,0.00002690509,0.0008401357,0.0006770472,0.9933406],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3961374,"threshold_uncertainty_score":0.9999325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004990055847691556,"score_gpt":0.1909218070565083,"score_spread":0.1859317512088168,"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."}}