{"id":"W6958043159","doi":"10.6068/dp15df269f7f432","title":"Trend 1996 - 2016. Bureau of Transportation Statistics. Border Crossings: Border Crossings - Loaded Containers | Country: USA | State: Montana, 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":"Scientific Computing and Data Management","field":"Decision Sciences","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":[0.001231015,0.001622754,0.0013527,0.004759078,0.0008766832,0.002841339,0.002299664,0.001183341,0.05524481],"category_scores_gemma":[0.01185648,0.000913946,0.001138271,0.01757064,0.0002817562,0.002722971,0.00154401,0.002391108,0.08152743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003422719,"about_ca_system_score_gemma":0.005882585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2388906,"about_ca_topic_score_gemma":0.1691027,"domain_scores_codex":[0.9982677,0.000166318,0.0002897212,0.0003700892,0.0006545921,0.0002515462],"domain_scores_gemma":[0.9918125,0.0006658646,0.0008461011,0.0005839306,0.005764565,0.0003270289],"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":[0.00002015422,0.000009417365,0.001281486,0.0001605019,0.00001218324,0.000006003203,0.00001398278,0.0000875412,0.00001891017,0.0002850813,0.9969519,0.001152765],"study_design_scores_gemma":[0.0001210727,0.00001570252,0.01765954,0.0004612395,0.00003256471,0.00002627222,0.0003440697,0.0002973544,0.0002155743,0.0007114649,0.9800794,0.00003580264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000899189,0.00002427321,0.00002395491,0.00006523094,0.00003878992,0.000007132513,0.9990891,0.00005688957,0.0006047189],"genre_scores_gemma":[0.0004153046,0.00005966391,0.0001323762,0.00003879852,0.00001641188,0.00006736814,0.9981142,0.00004512121,0.00111062],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2388906,"threshold_uncertainty_score":0.4750002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07722319699346786,"score_gpt":0.387946956502174,"score_spread":0.3107237595087062,"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."}}