{"id":"W6957957916","doi":"10.6068/dp15df221de7e28","title":"Trend 1996 - 2016. Bureau of Transportation Statistics. Border Crossings: Border Crossings - Empty Containers | Country: USA | State: Montana, 1996-2016. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 007-003-004.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CONQUEST; Agency (philosophy); Statistical analysis; Container (type theory); Closing (real estate); Vehicle miles of travel; Descriptive statistics","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":[0.00124212,0.001655039,0.001355322,0.004812211,0.0008874079,0.002830696,0.002352902,0.001217162,0.05555465],"category_scores_gemma":[0.01190035,0.0009167683,0.001168421,0.01737754,0.0002856595,0.00275773,0.001559275,0.002406265,0.0829819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003416626,"about_ca_system_score_gemma":0.005722946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2344882,"about_ca_topic_score_gemma":0.1670619,"domain_scores_codex":[0.9982576,0.0001702932,0.0002936147,0.0003749927,0.0006520528,0.0002515753],"domain_scores_gemma":[0.9918354,0.0006697336,0.0008455809,0.0006002412,0.005718397,0.0003307155],"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":[0.00002033368,0.000009545712,0.001284942,0.0001600339,0.00001213194,0.000005983012,0.00001399455,0.00008973642,0.00001859342,0.000283791,0.9969674,0.001133387],"study_design_scores_gemma":[0.0001252169,0.0000158903,0.01769047,0.0004651434,0.00003246332,0.00002679478,0.0003488814,0.000306858,0.0002179438,0.0007323573,0.9800012,0.00003683418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008711273,0.00002274574,0.00002284786,0.00006250342,0.00003723785,0.000006974334,0.9991289,0.00005427492,0.0005774396],"genre_scores_gemma":[0.0003919977,0.00005451985,0.0001253906,0.00003650223,0.00001545009,0.00006485386,0.9982206,0.00004206271,0.001048564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9444454,"threshold_uncertainty_score":0.4662467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03244446921294517,"score_gpt":0.3389704885777386,"score_spread":0.3065260193647934,"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."}}