{"id":"W6939073148","doi":"10.6068/dp15df26753ea3","title":"Trend 1996 - 2016. Bureau of Transportation Statistics. Border Crossings: Border Crossings - Train Passengers | Country: USA | State: Alaska, 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":[0.001409912,0.001635776,0.001439169,0.004578673,0.0008812576,0.002577186,0.002324463,0.001155517,0.05680588],"category_scores_gemma":[0.01303129,0.0009905017,0.001239364,0.01637644,0.0002783253,0.002846347,0.001631376,0.002479002,0.07644197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0030151,"about_ca_system_score_gemma":0.005852168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2259662,"about_ca_topic_score_gemma":0.1495124,"domain_scores_codex":[0.9980768,0.0001985162,0.0003658037,0.0003979016,0.0006814907,0.0002795416],"domain_scores_gemma":[0.9913298,0.0006871682,0.0009251339,0.0006137351,0.006088426,0.0003558355],"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":[0.00002861755,0.00001221145,0.001937437,0.0002502046,0.00001836477,0.000008204557,0.00002072899,0.0001341126,0.00002043861,0.0003738874,0.9957086,0.001487252],"study_design_scores_gemma":[0.0001409475,0.00002190998,0.0233513,0.000671018,0.00004639758,0.00003332437,0.0004372094,0.0003109716,0.0002228497,0.0008253034,0.9738963,0.00004247667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009326985,0.0000266093,0.00002469028,0.00005235069,0.00004018087,0.000008442415,0.9991215,0.00004250913,0.0005904186],"genre_scores_gemma":[0.0005180437,0.00007169144,0.0001388609,0.00003733258,0.00001577279,0.00008131618,0.9979082,0.00004345433,0.001185415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2259662,"threshold_uncertainty_score":0.4493018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03423214669214428,"score_gpt":0.3366341321974394,"score_spread":0.3024019855052951,"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."}}