{"id":"W6920416170","doi":"10.6068/dp14baedf449820","title":"Trend 1987 - 2014. Bureau of Transportation Statistics. Departures (Airline Performance): Departures - Security Delay | Country: USA | State: Rhode Island, 1987-2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 007-002-012.","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); CONQUEST; Ground transportation; Transit (satellite); Air traffic control; Doors","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":[0.00132707,0.001545001,0.00158272,0.0038725,0.0007357246,0.002210877,0.00228926,0.001181675,0.06592276],"category_scores_gemma":[0.012487,0.001012797,0.001245439,0.01401214,0.0002457192,0.002143525,0.001399176,0.002489797,0.07563858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003237503,"about_ca_system_score_gemma":0.005487052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2636979,"about_ca_topic_score_gemma":0.1801446,"domain_scores_codex":[0.9980288,0.0002317348,0.0003542938,0.0004567738,0.000662482,0.0002658599],"domain_scores_gemma":[0.9909912,0.0008074904,0.001001131,0.0006915301,0.006159533,0.0003490392],"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":[0.00002087999,0.00001220007,0.001482231,0.0002170172,0.00002061673,0.000005080331,0.00001259446,0.0001356258,0.00001757527,0.0002857809,0.9966619,0.001128527],"study_design_scores_gemma":[0.0002040686,0.00002639689,0.03007763,0.0005866597,0.00005992772,0.0000284193,0.0002812939,0.0005343307,0.0002145014,0.0006488592,0.9672893,0.00004864674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000857151,0.00002290383,0.00002897528,0.00004966494,0.00002851778,0.0000102859,0.9991873,0.00004536727,0.0005414179],"genre_scores_gemma":[0.0004699895,0.00005168332,0.0001332221,0.00003950028,0.00001431913,0.00009543888,0.9981433,0.00004057468,0.001011905],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2636979,"threshold_uncertainty_score":0.5243261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042940278420532,"score_gpt":0.3003195101794776,"score_spread":0.2698901073952722,"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."}}