{"id":"W6901949306","doi":"10.6068/dp15df26a4f5736","title":"Trend 1996 - 2016. Bureau of Transportation Statistics. Border Crossings: Border Crossings - All Vehicles | Country: USA | State: Arizona, 1996-2016. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 007-003-001.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Statistical analysis; CONQUEST; Closing (real estate); Vehicle miles of travel; Unit (ring theory); Work (physics); 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":[],"consensus_categories":[],"category_scores_codex":[0.00122611,0.00158722,0.001307521,0.004410245,0.0008108516,0.002512021,0.002253927,0.001088104,0.05867908],"category_scores_gemma":[0.01082123,0.0009173921,0.001110042,0.01402273,0.0002716848,0.002459113,0.001494478,0.002535055,0.07536037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002884371,"about_ca_system_score_gemma":0.004626401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2080051,"about_ca_topic_score_gemma":0.1424045,"domain_scores_codex":[0.9984516,0.0001600941,0.0002368703,0.0003425459,0.0005884925,0.0002204125],"domain_scores_gemma":[0.9931834,0.0005898381,0.0006969278,0.000529699,0.004690604,0.0003095384],"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":[0.00002127601,0.00001000016,0.001371548,0.0001816147,0.00001553427,0.000006476162,0.00001473913,0.000124117,0.00001985296,0.0003292367,0.9966063,0.001299219],"study_design_scores_gemma":[0.0001238864,0.00001848758,0.02106273,0.0005202898,0.00004527218,0.00003130393,0.0003382569,0.0003746567,0.0002368575,0.000787661,0.9764217,0.00003887728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009598966,0.00002961559,0.00003001901,0.00005593984,0.00004241348,0.000007781383,0.99907,0.00005442478,0.0006138398],"genre_scores_gemma":[0.0004672608,0.00005798937,0.0001462265,0.00003347572,0.0000154003,0.00006587766,0.9981346,0.00004082374,0.001038296],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2080051,"threshold_uncertainty_score":0.4135887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03855469738087076,"score_gpt":0.3401096385557942,"score_spread":0.3015549411749235,"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."}}