{"id":"W7062786937","doi":"","title":"Western Canada's Big Ticket Projects Lead North America in Oil &amp;amp; Gas Pipeline Executions for 2015, an Industrial Info News Alert","year":2014,"lang":"en","type":"other","venue":"","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ticket; Lead (geology); Pipeline (software); Pipeline transport; Petroleum industry; Petroleum","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":[0.001258033,0.001111774,0.0006334719,0.002357376,0.01121087,0.009150203,0.001659375,0.007097759,0.1434927],"category_scores_gemma":[0.004510833,0.0007979932,0.0008547429,0.002035271,0.001481902,0.001606965,0.001730569,0.005401349,0.02918894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02519884,"about_ca_system_score_gemma":0.1109672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9626421,"about_ca_topic_score_gemma":0.9907435,"domain_scores_codex":[0.9973971,0.00005644441,0.00004556997,0.00009162793,0.001748888,0.0006604955],"domain_scores_gemma":[0.9937079,0.0003766673,0.0001174426,0.0001274102,0.004306207,0.001364423],"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":[0.00001919241,0.00001773422,0.0007605309,0.00001871348,0.00000319911,0.00006586907,0.00004065424,0.00005680809,0.0000598397,0.0007765346,0.9936398,0.004541134],"study_design_scores_gemma":[0.00003295875,0.00001954452,0.008636808,0.00008973338,0.00001758308,0.0000306169,0.0009107918,0.0005088811,0.0003991685,0.0008041029,0.9885144,0.00003548968],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006810603,0.001498229,0.001092555,0.09403216,0.006707301,0.0003892455,0.03499904,0.002884238,0.8515866],"genre_scores_gemma":[0.007038191,0.0006320536,0.0004620703,0.01174263,0.0002734482,0.00004255798,0.004063763,0.000270462,0.9754748],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8565073,"threshold_uncertainty_score":0.480031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3581043319458585,"score_gpt":0.4022995952924024,"score_spread":0.04419526334654394,"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."}}