{"id":"W4246049071","doi":"10.1108/oxan-es259009","title":"US pipeline decision is reversal for Canada's Trudeau","year":2021,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Operations research; Business; Political science; History; Computer science; Engineering; Operating system","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":[0.005080878,0.0009310401,0.0009751145,0.001789887,0.02886444,0.01386637,0.003449261,0.03133992,0.05409011],"category_scores_gemma":[0.01378198,0.001113687,0.001603607,0.001751626,0.004282375,0.002584577,0.003417112,0.02174571,0.006790848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0629555,"about_ca_system_score_gemma":0.3704795,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9819008,"about_ca_topic_score_gemma":0.9923503,"domain_scores_codex":[0.9897594,0.0004066341,0.0001981423,0.00056938,0.004193617,0.004872825],"domain_scores_gemma":[0.9918746,0.001034519,0.0001262286,0.0001759175,0.004126279,0.002662423],"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":[0.00001540952,0.00001550816,0.0002852168,0.00001691744,0.000006050779,0.0001341091,0.0001599599,0.00006715187,0.00005235372,0.009878215,0.986032,0.003337111],"study_design_scores_gemma":[0.00004062581,0.00001328572,0.002057936,0.0001075565,0.00002603024,0.0000498268,0.001318269,0.0002124193,0.0001549341,0.002414473,0.993555,0.00004958958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006209202,0.002942995,0.0006258533,0.6051618,0.01802963,0.0002416992,0.001553415,0.0005028542,0.3647326],"genre_scores_gemma":[0.02127779,0.001069346,0.0005308957,0.274229,0.001063608,0.00007205385,0.000386429,0.0001912562,0.7011796],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0629555,"threshold_uncertainty_score":0.4567763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656266644314175,"score_gpt":0.299796300548427,"score_spread":0.2832336341052853,"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."}}