{"id":"W7064581112","doi":"","title":"Biden to scrap Keystone XL pipeline permit: Canadian media - RFI","year":2021,"lang":"en","type":"other","venue":"","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Scrap; Nuclear decommissioning; Pipeline transport","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006386414,0.0002356648,0.0002661126,0.0002355842,0.00005430657,0.00005035795,0.0002042034,0.000089172,0.1278298],"category_scores_gemma":[0.000004160077,0.0002219218,0.00006612796,0.0002690633,0.00001766219,0.00002535281,0.00004735135,0.0001435029,0.002302882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004174485,"about_ca_system_score_gemma":0.0004081363,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1651883,"about_ca_topic_score_gemma":0.2834651,"domain_scores_codex":[0.9989423,0.00001434171,0.0001732805,0.0002919894,0.000160903,0.0004172236],"domain_scores_gemma":[0.9991821,0.00001290153,0.00004567764,0.0002878406,0.00003399145,0.0004375064],"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":[0.00000152975,0.00001797593,0.01005787,0.00001340321,0.00006599209,0.000009624627,0.0001905491,0.000001511477,0.0001317961,0.0004203297,0.9696189,0.01947056],"study_design_scores_gemma":[0.0001766807,0.000004637642,0.003540776,0.00008889938,0.00001330457,4.152343e-7,0.00006869113,0.00004537471,0.0009129585,0.00002015883,0.9948016,0.0003264399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004740809,0.000194975,0.0001827552,0.0003228622,0.0006611107,0.000188018,0.0001554687,0.00005725791,0.9934967],"genre_scores_gemma":[0.07181918,0.000009150512,0.001039599,0.0003672565,0.001507049,0.00003413078,0.0003984714,0.0001809877,0.9246442],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1255269,"threshold_uncertainty_score":0.9984739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491129738461134,"score_gpt":0.2441757485001613,"score_spread":0.22926445111555,"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."}}