{"id":"W2247034589","doi":"10.22004/ag.econ.306697","title":"The Keystone XL Pipeline Project","year":2011,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Diverse Research and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Keystone species; Computer science; Biology; Ecology; Programming language","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":[0.001551282,0.0003328466,0.0001281423,0.0006811591,0.004378556,0.003954534,0.0008966248,0.001070144,0.09554867],"category_scores_gemma":[0.002372712,0.0002405069,0.000164115,0.0007816874,0.001083321,0.002817252,0.004177199,0.001258359,0.01865114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006160762,"about_ca_system_score_gemma":0.01728071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1097539,"about_ca_topic_score_gemma":0.2424717,"domain_scores_codex":[0.9986194,0.0001622916,0.00002691307,0.0001812169,0.0005710055,0.0004390398],"domain_scores_gemma":[0.9983824,0.0001591004,0.00003761549,0.0001178055,0.0004998562,0.0008031761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001681941,0.0001322557,0.003200426,0.0001353075,0.000004565371,0.0003059441,0.001731905,0.0001399446,0.001795198,0.06560358,0.7891871,0.1375955],"study_design_scores_gemma":[0.0000123553,0.0000379528,0.001303753,0.00003432781,0.000002045103,0.00004617123,0.001287741,0.0000672567,0.0004221787,0.001579451,0.9952,0.00000675521],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04138947,0.002139741,0.005606311,0.03204524,0.001798212,0.0004881522,0.005635166,0.001511469,0.9093862],"genre_scores_gemma":[0.08491132,0.001900903,0.00627471,0.00471973,0.000117904,0.0002971467,0.004150359,0.0003612441,0.8972667],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8902462,"threshold_uncertainty_score":0.3196421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07739642669991409,"score_gpt":0.26468613370338,"score_spread":0.1872897070034659,"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."}}