{"id":"W569341924","doi":"","title":"WIND-POWERED RAIL HELPS CALGARY MEET ITS CLEAN-AIR GOALS","year":2001,"lang":"en","type":"article","venue":"Metrologia","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; TRIPS architecture; Transit (satellite); Electricity; Wind power; Atmosphere (unit); Meteorology; Wind speed; General partnership; Transport engineering; Automotive engineering; Business; Engineering; Public transport; Geography; Finance; Electrical engineering","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":[0.0004543492,0.0001896594,0.0002354319,0.00006291251,0.0001367865,0.00002875842,0.0003090227,0.0001583089,0.007036234],"category_scores_gemma":[0.0001496032,0.0001676449,0.00007822349,0.0003272454,0.0001846086,0.0002579461,0.000223758,0.0001006015,0.003811384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001685217,"about_ca_system_score_gemma":0.000007484912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003113035,"about_ca_topic_score_gemma":0.0002495326,"domain_scores_codex":[0.9984311,0.0001378014,0.0002762119,0.0004119868,0.0003044029,0.0004385329],"domain_scores_gemma":[0.9993713,0.00005009186,0.0001091925,0.0003483651,0.000008850054,0.0001122018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001722039,0.00008192476,0.8247193,0.000005520277,0.00003211061,0.00007018206,0.00006924784,0.0002526847,0.1595321,0.0002311122,0.008593064,0.006240546],"study_design_scores_gemma":[0.0007400789,0.0002270542,0.9137814,0.00000542431,0.00003293286,0.0001299261,0.0000566389,0.0002377542,0.03321774,0.0007376611,0.05048992,0.0003434843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822958,0.0000516369,0.0001593623,0.0003201249,0.0009437457,0.0002028985,0.000006826089,0.000195385,0.01582427],"genre_scores_gemma":[0.9974382,0.00002678853,0.001122303,0.0006179175,0.0001172476,0.00001333959,0.000008784165,0.00002123177,0.0006342178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1263144,"threshold_uncertainty_score":0.9969643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334232596548056,"score_gpt":0.2249176292444071,"score_spread":0.2115753032789265,"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."}}