{"id":"W612611269","doi":"","title":"Canadian Current Events Project – The Keystone XL Pipeline","year":2013,"lang":"en","type":"article","venue":"York University Digital Library (York University)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Strong","keywords":"Pipeline (software); Keystone species; Current (fluid); Computer science; Engineering; Biology; Ecology","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":[0.005231427,0.0005867696,0.000448149,0.003948723,0.0127737,0.008899843,0.002381083,0.001859944,0.1130802],"category_scores_gemma":[0.01032173,0.0007234201,0.0006513213,0.00492369,0.002330055,0.002915128,0.005464774,0.002721828,0.01567232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0652548,"about_ca_system_score_gemma":0.2753446,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.983264,"about_ca_topic_score_gemma":0.9878147,"domain_scores_codex":[0.9945831,0.0002637966,0.00007485072,0.0002233087,0.003414993,0.001440002],"domain_scores_gemma":[0.9883555,0.000564892,0.0001819466,0.0006225937,0.006593778,0.003681329],"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":[0.00009701652,0.00006205624,0.001725633,0.0001251913,0.000009228764,0.00006629696,0.0006269586,0.0002489093,0.0002545813,0.0590496,0.8896186,0.04811589],"study_design_scores_gemma":[0.00002975439,0.00001100677,0.004268091,0.00006069165,0.000006174116,0.00001277153,0.0008857595,0.0002431897,0.0001810029,0.002276549,0.992008,0.00001703543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009242697,0.001273639,0.003949216,0.04756085,0.001260396,0.001007919,0.04043168,0.002419759,0.8928538],"genre_scores_gemma":[0.06184581,0.001743757,0.01352672,0.00962734,0.0002236085,0.0007235222,0.03105231,0.001110729,0.8801463],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1130802,"threshold_uncertainty_score":0.4734589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492565292599768,"score_gpt":0.1960239181820879,"score_spread":0.1810982652560902,"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."}}