{"id":"W7042329742","doi":"","title":"Pierre Poilievre Champions Canadian Pipelines and Steel in Energy East Pipeline Revival Push","year":2024,"lang":"en","type":"other","venue":"","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pipeline transport; Pipeline (software); Energy (signal processing); Gas pipeline; East coast","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":[0.00127681,0.0005952541,0.0002685773,0.001268765,0.01098583,0.007929862,0.0009224755,0.00544439,0.09544259],"category_scores_gemma":[0.00391485,0.0002970358,0.0003039826,0.001272127,0.002063313,0.002879877,0.002337585,0.00412334,0.01316861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01920078,"about_ca_system_score_gemma":0.03739749,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7335833,"about_ca_topic_score_gemma":0.8949113,"domain_scores_codex":[0.9978552,0.0001251778,0.0000224982,0.0001613856,0.00117525,0.0006604212],"domain_scores_gemma":[0.9974228,0.0003197647,0.00004458798,0.00006856472,0.001352621,0.0007916428],"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":[0.00001179857,0.000007375371,0.0002727719,0.00001876821,0.000001645233,0.00007081089,0.000281787,0.00009262912,0.00007978454,0.04722312,0.9364938,0.01544581],"study_design_scores_gemma":[0.000001680349,0.000002039661,0.0003962221,0.00002769414,9.789228e-7,0.00001704471,0.0004588176,0.00003812044,0.00008082992,0.001458148,0.9975121,0.000006364352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003202371,0.004618431,0.0005959045,0.1344271,0.008648999,0.00003748574,0.000570761,0.0002038866,0.8476951],"genre_scores_gemma":[0.01572972,0.001440958,0.000209226,0.006084749,0.0004126973,0.00001055449,0.0001065355,0.0001238427,0.9758816],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2664167,"threshold_uncertainty_score":0.5359714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00651250321096497,"score_gpt":0.1840945984990716,"score_spread":0.1775820952881066,"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."}}