{"id":"W6939223784","doi":"10.6068/dp153c548177f15","title":"TREND: Bureau of Transportation Statistics. Border Crossings: Border Crossings - All Vehicles, 01/1996 - 12/2014. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 007-003-001","year":2016,"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; Closing (real estate); Unit (ring theory); Homeland security; Work (physics)","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":[0.001474173,0.001628455,0.001393912,0.006135338,0.0009501727,0.002580303,0.002711925,0.001170377,0.08195666],"category_scores_gemma":[0.01422504,0.001007304,0.001187352,0.01896683,0.0003045622,0.002811046,0.001412775,0.002852091,0.0990705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003364372,"about_ca_system_score_gemma":0.006639244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1695148,"about_ca_topic_score_gemma":0.111088,"domain_scores_codex":[0.997785,0.0002516078,0.0003742237,0.0004413415,0.0008284712,0.0003193807],"domain_scores_gemma":[0.9888824,0.00101074,0.001269631,0.0007499695,0.007682669,0.0004046818],"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":[0.00001779341,0.0000106949,0.001162135,0.0001688335,0.00001121772,0.000005746541,0.00001363205,0.0001057104,0.00001176504,0.0003440741,0.9967859,0.001362473],"study_design_scores_gemma":[0.0001039399,0.0000176451,0.01362828,0.000532007,0.00003222383,0.00002717281,0.0002927533,0.0003243653,0.0001436221,0.0008881577,0.9839753,0.00003451068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008121687,0.00003039029,0.00004761221,0.00008480237,0.00004377821,0.0000182536,0.9986619,0.00005674141,0.0009752598],"genre_scores_gemma":[0.000516746,0.00009159799,0.0001991402,0.00006336276,0.00002258254,0.0001606945,0.9972309,0.00006440067,0.001650566],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1695148,"threshold_uncertainty_score":0.3370563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02672460566781371,"score_gpt":0.3362686679849942,"score_spread":0.3095440623171805,"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."}}