{"id":"W6957978504","doi":"10.6068/dp15df2206b0492","title":"Trend 1996 - 2016. Bureau of Transportation Statistics. Border Crossings: Border Crossings - Trains | Country: USA | State: New York, 1996-2016. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 007-003-006.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Train; Closing (real estate); Truck; Agency (philosophy); Visitor pattern; Statistical analysis; Track (disk drive); Descriptive statistics","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":[0.001418389,0.001763331,0.00144004,0.004736259,0.0008793389,0.002805594,0.002430836,0.001258631,0.06869861],"category_scores_gemma":[0.01370959,0.0010045,0.001249852,0.01628948,0.0003039408,0.003069517,0.001698427,0.002642556,0.09899188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003147595,"about_ca_system_score_gemma":0.005616038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.188179,"about_ca_topic_score_gemma":0.1400942,"domain_scores_codex":[0.998066,0.0002064066,0.0003706995,0.0004082426,0.0006751136,0.0002735695],"domain_scores_gemma":[0.9913447,0.0007944764,0.0009178586,0.0006945565,0.005865512,0.0003828834],"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":[0.00002103751,0.000009032849,0.001210463,0.000179266,0.00001213328,0.000005896354,0.00001441334,0.00009264548,0.00001728776,0.000307963,0.9970199,0.001109888],"study_design_scores_gemma":[0.0001394323,0.00001637812,0.01525322,0.0005130232,0.00003109163,0.00002745644,0.0003232175,0.0002957822,0.0001862728,0.0008097648,0.9823663,0.00003807741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006770836,0.00002089694,0.00002364989,0.00005313522,0.00003765085,0.00000751684,0.9992125,0.00004672788,0.0005300856],"genre_scores_gemma":[0.0003376408,0.00005199085,0.0001273191,0.00003224194,0.00001464648,0.00007140225,0.9983506,0.00004543475,0.0009687073],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.188179,"threshold_uncertainty_score":0.3741673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0504490718803707,"score_gpt":0.3428081961934886,"score_spread":0.2923591243131179,"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."}}