{"id":"W6901634477","doi":"10.6068/dp15df222c92953","title":"Trend 1996 - 2016. Bureau of Transportation Statistics. Border Crossings: Border Crossings-Loaded Truck Containers | Country: USA | State: Washington, 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":[0.001435872,0.00173462,0.001413382,0.004828679,0.0008588212,0.002757251,0.00237155,0.001222627,0.05495029],"category_scores_gemma":[0.01383754,0.001021394,0.001237796,0.01746402,0.000295145,0.003016327,0.001585429,0.00259858,0.08191288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003383056,"about_ca_system_score_gemma":0.005902706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2239476,"about_ca_topic_score_gemma":0.1541039,"domain_scores_codex":[0.998073,0.00020017,0.0003602268,0.0003960728,0.0007006408,0.0002698201],"domain_scores_gemma":[0.9909137,0.0007517398,0.0009285874,0.0006942045,0.006369826,0.0003418371],"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":[0.00002364156,0.00001058411,0.001394221,0.0001980462,0.00001427292,0.000006870665,0.00001507594,0.0001130242,0.00001933722,0.0003534666,0.9965165,0.001335068],"study_design_scores_gemma":[0.0001255159,0.00001647517,0.01633899,0.0005700953,0.0000354034,0.00002809135,0.0003538165,0.0003125727,0.0002327759,0.0008361425,0.9811115,0.00003875723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008037086,0.00002370119,0.00002749491,0.00005603027,0.00004091076,0.000008505252,0.9991154,0.00004808867,0.00059941],"genre_scores_gemma":[0.0004377792,0.00006965504,0.0001549433,0.00003766811,0.00001524307,0.00007985099,0.9980682,0.00004731051,0.001089377],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2239476,"threshold_uncertainty_score":0.4452881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03249305247760738,"score_gpt":0.3344220357727858,"score_spread":0.3019289832951785,"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."}}