{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002255108,0.001354265,0.0008923574,0.003722296,0.00614635,0.004661628,0.003359555,0.001659799,0.6460754],"category_scores_gemma":[0.005278829,0.001270296,0.0007413551,0.002667184,0.001185511,0.002578551,0.003130035,0.002009671,0.3951833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01288482,"about_ca_system_score_gemma":0.03052122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6871803,"about_ca_topic_score_gemma":0.8065609,"domain_scores_codex":[0.9968935,0.0000944632,0.00003146932,0.0002173154,0.002283508,0.0004796368],"domain_scores_gemma":[0.9928665,0.0002953513,0.00009495923,0.0007162914,0.005352737,0.0006741299],"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":[0.0000845723,0.00002421388,0.0002823993,0.00005898904,0.000003497714,0.00002308619,0.00005611328,0.0001293471,0.001105293,0.003983063,0.9668434,0.027406],"study_design_scores_gemma":[0.00002213195,0.00001511632,0.001142628,0.00002776647,0.000004252509,0.00002477019,0.00006360598,0.0005188842,0.001927928,0.0007424682,0.9954905,0.0000200424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001546005,0.0002056142,0.005476279,0.001668778,0.000476933,0.000410447,0.04057083,0.01324191,0.9364031],"genre_scores_gemma":[0.004675874,0.000114532,0.003905883,0.0004357443,0.00004379862,0.0001145856,0.01302686,0.003739242,0.9739435],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6460754,"threshold_uncertainty_score":0.629324,"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."}}