{"id":"W6901465256","doi":"10.6068/dp15df267f4e910","title":"Trend 1996 - 2016. Bureau of Transportation Statistics. Border Crossings: Border Crossings - Empty Containers | Country: USA | State: Arizona, 1996-2016. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 007-003-004.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CONQUEST; Agency (philosophy); Statistical analysis; Container (type theory); Closing (real estate); Vehicle miles of travel; 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":[0.001268238,0.001666035,0.001317317,0.004616246,0.0008082237,0.002660933,0.002242341,0.001124837,0.05402328],"category_scores_gemma":[0.01124554,0.0009402201,0.001124913,0.01504734,0.0002873145,0.002537885,0.001466532,0.002541414,0.06994781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003131457,"about_ca_system_score_gemma":0.005011803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.228552,"about_ca_topic_score_gemma":0.1581035,"domain_scores_codex":[0.99842,0.0001557268,0.0002489354,0.0003429068,0.0006074646,0.0002248811],"domain_scores_gemma":[0.9925235,0.0006452135,0.0007745419,0.0005507352,0.005178706,0.0003274289],"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":[0.00002215378,0.00001040738,0.001478,0.0001846513,0.00001573812,0.000006579015,0.00001557904,0.0001383629,0.00002129352,0.0003119865,0.9965518,0.001243522],"study_design_scores_gemma":[0.0001390419,0.00001958878,0.02331569,0.0005321213,0.0000470253,0.00002983568,0.0004057898,0.000421168,0.0002730232,0.0007594061,0.9740146,0.00004271494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001009909,0.00002715995,0.0000269814,0.00005458451,0.00004106505,0.000007503183,0.9991137,0.00005544087,0.0005724105],"genre_scores_gemma":[0.0004691681,0.00005859983,0.0001391321,0.0000326285,0.00001475474,0.00006466601,0.9981819,0.00003994366,0.0009991651],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.228552,"threshold_uncertainty_score":0.4544433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03327405244136392,"score_gpt":0.340252420299785,"score_spread":0.3069783678584211,"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."}}