{"id":"W6958135785","doi":"10.6068/dp15df223028159","title":"Trend 1996 - 2016. Bureau of Transportation Statistics. Border Crossings: Border Crossings-Loaded Truck Containers | Country: USA | State: Minnesota, 1996-2016. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 007-003-007.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Closing (real estate); Vehicle miles of travel; Agency (philosophy); Descriptive statistics; Container (type theory); Statistical analysis","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":[0.00132673,0.001679066,0.001316157,0.004296042,0.0008095584,0.002563233,0.002269985,0.001048414,0.04775142],"category_scores_gemma":[0.01226502,0.001011819,0.001144812,0.01459684,0.0002799802,0.002691579,0.001554482,0.002367263,0.06933283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003579204,"about_ca_system_score_gemma":0.006029623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2750807,"about_ca_topic_score_gemma":0.205358,"domain_scores_codex":[0.998193,0.0001816376,0.0003290044,0.0003982146,0.0006515984,0.0002465187],"domain_scores_gemma":[0.9914361,0.0006426508,0.0009096044,0.0006191149,0.00605278,0.0003397889],"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":[0.00002435628,0.00001059563,0.001801242,0.0002091778,0.00001593601,0.00000707654,0.00001799234,0.0001270403,0.00002189372,0.0003469374,0.9960684,0.001349278],"study_design_scores_gemma":[0.0001250147,0.00001828464,0.02170853,0.0005695763,0.00004013492,0.00003041913,0.0003803732,0.0003602366,0.0002453786,0.0007241181,0.9757574,0.0000404778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009762854,0.00002726724,0.00002851867,0.00005536673,0.00004085283,0.000008421505,0.9991089,0.00004739933,0.0005858188],"genre_scores_gemma":[0.0005216373,0.00007359447,0.0001619149,0.00003778602,0.00001526754,0.00007537263,0.9979246,0.0000471307,0.001142708],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2750807,"threshold_uncertainty_score":0.546959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03249639141341071,"score_gpt":0.3340029928130263,"score_spread":0.3015066013996156,"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."}}