{"id":"W6920078868","doi":"10.6068/dp15df221306412","title":"Trend 1996 - 2016. Bureau of Transportation Statistics. Border Crossings: Border Crossings - Train Passengers | Country: USA | State: Texas, 1996-2016. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 007-003-016.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crew; Agency (philosophy); Statistical analysis; Closing (real estate); Work (physics); Vehicle miles of travel; CONQUEST; Unit (ring theory); 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":[0.001367623,0.001672726,0.001393364,0.00450783,0.0008560634,0.002631102,0.002364501,0.001183077,0.05884594],"category_scores_gemma":[0.01289703,0.0009663366,0.001217944,0.01613946,0.0002789092,0.002830701,0.00160641,0.002501612,0.08274726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003114154,"about_ca_system_score_gemma":0.005553387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1997379,"about_ca_topic_score_gemma":0.1340536,"domain_scores_codex":[0.9981831,0.0001905466,0.0003371506,0.0003774556,0.0006353934,0.0002763446],"domain_scores_gemma":[0.9917732,0.0006881345,0.0009159109,0.0006052757,0.005672697,0.0003447511],"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":[0.00002535908,0.00001049055,0.001536612,0.0002019101,0.0000145891,0.000006853061,0.00001619338,0.0001117907,0.0000181751,0.000335941,0.9964859,0.001236267],"study_design_scores_gemma":[0.0001577628,0.00002033184,0.02044285,0.00059617,0.00003968204,0.0000318354,0.0003819045,0.0003296946,0.0002182467,0.0008415635,0.9768996,0.00004034386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008606919,0.00002322039,0.00002427763,0.00005643738,0.00003877345,0.000008224807,0.9991738,0.00004273239,0.0005463214],"genre_scores_gemma":[0.000473151,0.00006173858,0.0001350385,0.00003949306,0.00001630172,0.00007988392,0.9980532,0.00004343338,0.001097878],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1997379,"threshold_uncertainty_score":0.3971506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03533433203290812,"score_gpt":0.3377539203789444,"score_spread":0.3024195883460362,"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."}}