{"id":"W6976635248","doi":"10.6068/dp15df261fe5a56","title":"Trend 1996 - 2016. Bureau of Transportation Statistics. Border Crossings: Border Crossings - Empty Truck Containers | Country: USA | State: Maine, 1996-2016. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 007-003-008.","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; Vehicle miles of travel; Closing (real estate); Agency (philosophy); Descriptive statistics; Container (type theory); CONQUEST","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":[0.001411126,0.00179447,0.001498143,0.005057697,0.0008773346,0.002941765,0.002443287,0.001322051,0.06087128],"category_scores_gemma":[0.01402275,0.001069144,0.001273359,0.01824108,0.0003029795,0.003225422,0.001764681,0.002531203,0.08731751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003536379,"about_ca_system_score_gemma":0.005967868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2193414,"about_ca_topic_score_gemma":0.1496401,"domain_scores_codex":[0.9980097,0.0001964404,0.0003700608,0.000414372,0.000724716,0.0002848587],"domain_scores_gemma":[0.9909505,0.0007522116,0.0009800309,0.0006704219,0.006293393,0.0003534527],"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":[0.0000247011,0.00001054262,0.001489426,0.0002100863,0.00001496458,0.00000712883,0.00001713492,0.0001136089,0.00002024101,0.0003624404,0.996448,0.001281752],"study_design_scores_gemma":[0.0001368879,0.00001779082,0.01839388,0.000565127,0.0000360692,0.00002944045,0.0003445116,0.0002945785,0.0002255544,0.0007833724,0.979134,0.00003885762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000848775,0.00002509989,0.00002430355,0.00005673413,0.0000397287,0.000008182671,0.9991226,0.00004622846,0.0005923382],"genre_scores_gemma":[0.0004348361,0.0000686375,0.000135544,0.0000388864,0.00001538687,0.00007943348,0.9979529,0.00004774327,0.00122664],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2193414,"threshold_uncertainty_score":0.4361293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03039286303051612,"score_gpt":0.3364349541409896,"score_spread":0.3060420911104734,"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."}}