{"id":"W6939012630","doi":"10.6068/dp15df26a08a734","title":"Trend 1996 - 2016. Bureau of Transportation Statistics. Border Crossings: Border Crossings - Loaded Containers | Country: USA | State: New Mexico, 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; Telephone number","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":[0.001285816,0.001608234,0.001481837,0.004450257,0.0009154769,0.002537891,0.002316694,0.001162281,0.05218771],"category_scores_gemma":[0.0118932,0.0009620544,0.001121116,0.01541386,0.0002723467,0.002698877,0.00161691,0.002296661,0.06538966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003552791,"about_ca_system_score_gemma":0.005434778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2632776,"about_ca_topic_score_gemma":0.1682997,"domain_scores_codex":[0.9984561,0.0001571999,0.0002516349,0.0003601666,0.0005348081,0.000240142],"domain_scores_gemma":[0.9922624,0.000625834,0.0009256096,0.0005859893,0.005283989,0.0003161653],"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":[0.0000254623,0.000009993466,0.00172249,0.0001929552,0.00001570097,0.000007173614,0.00001704491,0.0001000765,0.00001998543,0.0002764248,0.9963877,0.001224903],"study_design_scores_gemma":[0.000139403,0.00002003531,0.02499803,0.0005230933,0.00004738259,0.00003002371,0.0004098217,0.0003123906,0.0002462702,0.0005702634,0.9726655,0.00003773867],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001097507,0.00002471412,0.00002563898,0.00006287164,0.00003737394,0.000008146486,0.9991491,0.00005398595,0.000528461],"genre_scores_gemma":[0.0005383143,0.00006804077,0.0001613522,0.00003894169,0.00001839058,0.00009286927,0.9978274,0.00004853065,0.001206198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2632776,"threshold_uncertainty_score":0.5234903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0370669802737735,"score_gpt":0.3402101842959814,"score_spread":0.303143204022208,"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."}}