{"id":"W6939063971","doi":"10.6068/dp15df222478c39","title":"Trend 1996 - 2016. Bureau of Transportation Statistics. Border Crossings: Border Crossings - Passengers in Personal Vehicles | Country: USA | State: Minnesota, 1996-2016. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 007-003-012.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Closing (real estate); Vehicle miles of travel; Agency (philosophy); Statistical analysis; CONQUEST; Descriptive statistics; Unit (ring theory); Mile","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":[0.001353329,0.001686206,0.001371982,0.004304331,0.0008339162,0.002554585,0.002303931,0.001052683,0.04963584],"category_scores_gemma":[0.01223541,0.00101906,0.001203943,0.01457354,0.000270974,0.002790945,0.001639121,0.00241616,0.06898581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003263414,"about_ca_system_score_gemma":0.005573727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2438961,"about_ca_topic_score_gemma":0.1805973,"domain_scores_codex":[0.9981122,0.0001967249,0.0003584125,0.0004031809,0.0006628382,0.0002667146],"domain_scores_gemma":[0.9916999,0.0006355894,0.0009255094,0.000600977,0.005784423,0.0003535999],"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":[0.00002833509,0.00001115963,0.002060185,0.0002304425,0.00001711686,0.000007670451,0.00002044545,0.0001194608,0.00002098604,0.0003646958,0.9956685,0.001451014],"study_design_scores_gemma":[0.0001485832,0.0000218785,0.02648306,0.0006443136,0.00004467528,0.00003431029,0.0004133272,0.0003470432,0.0002323686,0.000786324,0.9708006,0.00004352193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001080697,0.00002845496,0.00002695601,0.0000564226,0.00004413752,0.00000923481,0.9990904,0.00004205595,0.0005943255],"genre_scores_gemma":[0.0005592918,0.00007266901,0.0001474645,0.00003814055,0.00001728709,0.00008230929,0.9978536,0.00004365797,0.001185637],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2438961,"threshold_uncertainty_score":0.484953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03333997997892527,"score_gpt":0.331004142716899,"score_spread":0.2976641627379737,"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."}}