{"id":"W6939121267","doi":"10.6068/dp15df1ef545714","title":"Trend 1996 - 2016. Bureau of Transportation Statistics. Border Crossings: Border Crossings - Loaded Containers | Country: USA | State: California, 1996-2016. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 007-003-003.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Container (type theory); Statistical analysis; Agency (philosophy); Closing (real estate); CONQUEST; Vehicle miles of travel; Descriptive statistics; Unit (ring theory)","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":[0.001412884,0.001706549,0.001449975,0.004841723,0.0008861371,0.002871746,0.002409814,0.001206793,0.0579445],"category_scores_gemma":[0.0136145,0.001013771,0.001250962,0.01721287,0.0003006255,0.002974051,0.001605907,0.002618561,0.08021079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003383558,"about_ca_system_score_gemma":0.006177999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2319564,"about_ca_topic_score_gemma":0.1633259,"domain_scores_codex":[0.9980434,0.0001889717,0.0003521461,0.0004082256,0.0007311063,0.0002760302],"domain_scores_gemma":[0.9905332,0.0007891696,0.0009743939,0.0006798858,0.006646656,0.000376616],"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":[0.00002210518,0.000009649866,0.001343998,0.0001880846,0.00001326699,0.000005853163,0.00001422325,0.0001033687,0.00001675972,0.0003120514,0.9968088,0.001161722],"study_design_scores_gemma":[0.0001416961,0.00001755116,0.01749596,0.000559263,0.00003603013,0.00002745323,0.0003566886,0.0003214042,0.0002111184,0.0007717472,0.9800211,0.00004005347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007661229,0.00002369902,0.00002378391,0.00005211307,0.00003758246,0.000007719686,0.9991652,0.00004868432,0.0005646104],"genre_scores_gemma":[0.0004062878,0.00006370884,0.0001394304,0.00003525567,0.00001467871,0.00007385655,0.9982353,0.00004541452,0.0009859609],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2319564,"threshold_uncertainty_score":0.4612125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03214919488076628,"score_gpt":0.3329817925640624,"score_spread":0.3008325976832961,"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."}}