{"id":"W6957670886","doi":"10.6068/dp15ba854a80527","title":"TREND: Bureau of Transportation Statistics. Border Crossings: Border Crossings - All Vehicles | State: California, 09/2012 - 12/2016. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 007-003-001","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Closing (real estate); Agency (philosophy); Statistical analysis; CONQUEST; Unit (ring theory); Vehicle miles of travel; Homeland security","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":[0.0011537,0.00145316,0.001267483,0.004725197,0.001005974,0.002793404,0.002504751,0.001089918,0.09801847],"category_scores_gemma":[0.0116328,0.000940722,0.001027812,0.01338978,0.0002902389,0.002975033,0.001373806,0.002859915,0.09984227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003005254,"about_ca_system_score_gemma":0.006065474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2199015,"about_ca_topic_score_gemma":0.167874,"domain_scores_codex":[0.9983585,0.0001584579,0.0002280508,0.0004007614,0.0006094325,0.0002447316],"domain_scores_gemma":[0.9897524,0.0009558693,0.001032335,0.0007312403,0.007073953,0.0004541884],"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":[0.00001180196,0.00000834058,0.0009645693,0.0001150257,0.000007806788,0.00000362094,0.00001016747,0.00006794675,0.000007376798,0.0002642445,0.9973602,0.001178811],"study_design_scores_gemma":[0.00008406709,0.00001471509,0.01214392,0.0004720542,0.00002606046,0.00001944017,0.0002623132,0.0003468006,0.0001194496,0.0007657018,0.9857108,0.00003470183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008074155,0.00002923844,0.00004568041,0.00009093484,0.00004628949,0.00001604846,0.9983412,0.00008853857,0.001261248],"genre_scores_gemma":[0.0006079029,0.00009134154,0.0002184409,0.00007091577,0.00002772648,0.0001468774,0.9967898,0.00008787556,0.00195923],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2199015,"threshold_uncertainty_score":0.437243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02900993447240256,"score_gpt":0.3376751055589681,"score_spread":0.3086651710865655,"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."}}