{"id":"W6938821575","doi":"10.6068/dp15df221427d14","title":"Trend 1996 - 2016. Bureau of Transportation Statistics. Border Crossings: Border Crossings - Train Passengers | Country: USA | State: Minnesota, 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":[0.001296386,0.001634734,0.001311419,0.004142459,0.0008148297,0.002458937,0.002246298,0.001027267,0.05236985],"category_scores_gemma":[0.01182165,0.0009899088,0.001121262,0.01414183,0.0002652842,0.002622467,0.001544029,0.002326256,0.07432782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003306656,"about_ca_system_score_gemma":0.005725345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2597201,"about_ca_topic_score_gemma":0.193507,"domain_scores_codex":[0.9982405,0.0001845834,0.0003228271,0.0003892439,0.0006090943,0.0002538659],"domain_scores_gemma":[0.9919314,0.0006109363,0.0008849645,0.000593322,0.005630593,0.0003488388],"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":[0.00002489554,0.00001007103,0.001807774,0.0002080657,0.00001567509,0.000006832426,0.00001822123,0.0001144737,0.00001970278,0.0003254091,0.9961514,0.00129751],"study_design_scores_gemma":[0.0001372224,0.00001976813,0.02395382,0.0005948354,0.00004165305,0.00003105285,0.000380693,0.0003274331,0.0002193615,0.0007101377,0.9735445,0.00003948847],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009572279,0.00002631092,0.00002586156,0.00005518191,0.00004024866,0.000008407334,0.999124,0.00004221863,0.0005821247],"genre_scores_gemma":[0.0005249887,0.00006775728,0.0001423502,0.00003864971,0.00001600098,0.00007579618,0.9978807,0.00004402954,0.001209734],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2597201,"threshold_uncertainty_score":0.5164168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03446595896813866,"score_gpt":0.3355431112640296,"score_spread":0.3010771522958909,"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."}}