{"id":"W6976697982","doi":"10.6068/dp15df2240f4d87","title":"Trend 1996 - 2016. Bureau of Transportation Statistics. Border Crossings: Border Crossings - All Vehicles | Country: USA | State: Washington, 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":[0.001380071,0.001681,0.001391411,0.00469332,0.0008754272,0.002639813,0.002392728,0.001228671,0.06282756],"category_scores_gemma":[0.01293459,0.0009776023,0.00124677,0.01601405,0.000284753,0.00296884,0.001632342,0.002627042,0.09529193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002994535,"about_ca_system_score_gemma":0.005104894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1828226,"about_ca_topic_score_gemma":0.132308,"domain_scores_codex":[0.998137,0.0002066914,0.0003413538,0.0003989179,0.000654434,0.0002615292],"domain_scores_gemma":[0.9920066,0.0006948492,0.0008144772,0.0006798842,0.005468913,0.0003353787],"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":[0.0000220721,0.000009627893,0.001195604,0.0001836083,0.00001284174,0.000006326904,0.00001380084,0.00009466254,0.00001755211,0.0003384934,0.9968311,0.001274251],"study_design_scores_gemma":[0.0001198754,0.00001566861,0.01402818,0.0005376037,0.00003096857,0.00002909208,0.0002968123,0.0002745141,0.0001919541,0.0008533552,0.9835863,0.00003560173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007142011,0.00002341283,0.0000271241,0.00005338341,0.00003986586,0.000007959283,0.9991347,0.00004627449,0.000595898],"genre_scores_gemma":[0.0003700974,0.00005686811,0.0001411159,0.00003447814,0.00001446329,0.00007171451,0.9982445,0.00004375458,0.001022942],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1828226,"threshold_uncertainty_score":0.3635169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03721508488027792,"score_gpt":0.3389787830052421,"score_spread":0.3017636981249642,"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."}}