{"id":"W6957588779","doi":"10.6068/dp14baeb7f5dd90","title":"Trend 1987 - 2014. Bureau of Transportation Statistics. Arrivals (Airline Performance): Arrivals - Security Delay | Country: USA | State: Colorado, 1987-2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 007-001-012.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aviation; NonStop; Quarter (Canadian coin); Arrival time; Ground transportation; CONQUEST; Transit (satellite); Point (geometry)","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":[0.001263002,0.001550236,0.001529593,0.004216657,0.0009345604,0.002431485,0.002436217,0.001310944,0.05911398],"category_scores_gemma":[0.01281104,0.001093981,0.001146961,0.01562266,0.0002714932,0.00224925,0.001442872,0.002717575,0.06982584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003746483,"about_ca_system_score_gemma":0.006348717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2757838,"about_ca_topic_score_gemma":0.1881435,"domain_scores_codex":[0.9980747,0.0002080729,0.0003136185,0.0004537745,0.0006572373,0.0002926459],"domain_scores_gemma":[0.9890398,0.0009608254,0.001096093,0.0007053822,0.007787111,0.0004107611],"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":[0.00001956215,0.00001154324,0.001393397,0.0001663864,0.00001633275,0.000004197888,0.00001216754,0.0001181834,0.00001370471,0.0002545789,0.9971498,0.0008402496],"study_design_scores_gemma":[0.0001954361,0.00002573323,0.02833395,0.0005961875,0.00005496723,0.00002634473,0.0003200548,0.0005495095,0.0002230695,0.0007069333,0.9689233,0.00004440701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009058181,0.00002381351,0.0000258559,0.00005397658,0.0000294428,0.000009227191,0.9992111,0.0000415729,0.0005144208],"genre_scores_gemma":[0.000447014,0.0000482553,0.0001099879,0.00003956998,0.00001524424,0.0000853415,0.998384,0.00003360196,0.0008370146],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2757838,"threshold_uncertainty_score":0.5483571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03798658985914087,"score_gpt":0.3055204170944571,"score_spread":0.2675338272353162,"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."}}