{"id":"W6901710340","doi":"10.6068/dp15df223cd3e80","title":"Trend 1996 - 2016. Bureau of Transportation Statistics. Border Crossings: Border Crossings - Loaded Containers | Country: USA | State: Alaska, 1996-2016. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 007-003-003.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Container (type theory); Statistical analysis; Agency (philosophy); Closing (real estate); CONQUEST; Vehicle miles of travel; Descriptive statistics; Unit (ring theory)","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":[0.001453481,0.001690293,0.001456486,0.004802274,0.0008973761,0.002735882,0.002299509,0.001198163,0.05469961],"category_scores_gemma":[0.01323288,0.001014728,0.001247947,0.01674936,0.0002962707,0.002962299,0.001646479,0.002591616,0.07565587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003084559,"about_ca_system_score_gemma":0.005945236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2225318,"about_ca_topic_score_gemma":0.1503888,"domain_scores_codex":[0.9980406,0.0001956248,0.0003696164,0.0004145977,0.0007115969,0.0002679523],"domain_scores_gemma":[0.9908805,0.0007468006,0.0009498739,0.0006511873,0.006407548,0.000364185],"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":[0.00002776125,0.00001261587,0.001878961,0.0002430765,0.00001806056,0.000008430455,0.00002100541,0.0001460783,0.00002250839,0.0003708245,0.9957545,0.001496214],"study_design_scores_gemma":[0.0001278176,0.00002053457,0.02045048,0.0006244876,0.00004214634,0.00003172619,0.0004512153,0.0003263039,0.0002391789,0.0007966242,0.9768464,0.00004313787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009525973,0.00002706578,0.00002594922,0.00004999449,0.00004147575,0.000007943676,0.9991108,0.00004978742,0.0005916549],"genre_scores_gemma":[0.0004812652,0.00007133844,0.0001494561,0.00003389912,0.00001477056,0.00007549276,0.9980149,0.00004550259,0.001113269],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2225318,"threshold_uncertainty_score":0.4424731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03237451720271559,"score_gpt":0.3349377826956042,"score_spread":0.3025632654928886,"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."}}