{"id":"W6976350081","doi":"10.6068/dp15df21ff44f79","title":"Trend 1996 - 2016. Bureau of Transportation Statistics. Border Crossings: Border Crossings - Empty Truck Containers | Country: USA | State: Montana, 1996-2016. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 007-003-008.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Vehicle miles of travel; Closing (real estate); Agency (philosophy); Descriptive statistics; Container (type theory); CONQUEST","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":[0.001301705,0.001691128,0.001391426,0.00500668,0.000915203,0.002958443,0.002398061,0.001235303,0.05983929],"category_scores_gemma":[0.01276381,0.0009789505,0.001196165,0.0184231,0.0002884617,0.002917074,0.001628136,0.00249171,0.08530623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003531279,"about_ca_system_score_gemma":0.006138319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2418029,"about_ca_topic_score_gemma":0.1688191,"domain_scores_codex":[0.9981281,0.0001798658,0.0003187947,0.0003922661,0.0007133248,0.0002676764],"domain_scores_gemma":[0.9911918,0.0007081937,0.0008928189,0.0006258767,0.006236219,0.0003450361],"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":[0.00002069209,0.000009825778,0.001277867,0.0001714204,0.00001242837,0.000006231264,0.00001503315,0.00009052816,0.00001839305,0.000309708,0.9968504,0.001217539],"study_design_scores_gemma":[0.0001189015,0.00001542155,0.01704073,0.0004825399,0.00003233107,0.00002628721,0.0003503531,0.0002799869,0.0002055802,0.0007424143,0.9806691,0.0000363014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008766387,0.00002401459,0.00002497787,0.00006516447,0.0000410676,0.000007814805,0.999052,0.00005392133,0.0006433367],"genre_scores_gemma":[0.0004108915,0.00006177837,0.0001383416,0.00003880586,0.0000165361,0.00007402708,0.9980311,0.00004707674,0.001181453],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9401607,"threshold_uncertainty_score":0.4807909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02019311894446293,"score_gpt":0.2952760550457121,"score_spread":0.2750829361012491,"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."}}