{"id":"W6976642932","doi":"10.6068/dp14ba6ea2f6d33","title":"Trend 2004 - 2013. National Center for Education Statistics. Fall Enrollment - Postsecondary Schools: Part-Time Other-Degree-Seeking Undergraduates | Country: USA | State: Virginia | Institution by State: CENTER FOR EMPLOYMENT TRAINING-ALEXANDRIA | Gender: All Gender | Race: All Races/Ethnicities, 2004-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 017-005-015.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Franz Kafka Literary Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics education; Postsecondary education; Certificate; Vocational education; Higher education; Institution; Quarter (Canadian coin); Center (category theory); Graduation (instrument)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001074547,0.001237039,0.001254423,0.0003072754,0.0004398399,0.001110478,0.001556263,0.0003755625,0.009727105],"category_scores_gemma":[0.0000404385,0.001138988,0.00000735496,0.00003143011,0.0005695621,0.001295956,0.0004510864,0.0006486205,0.001071442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000420398,"about_ca_system_score_gemma":0.001152737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07035033,"about_ca_topic_score_gemma":0.07768083,"domain_scores_codex":[0.9937441,0.0004001164,0.001568287,0.001809849,0.001264892,0.001212805],"domain_scores_gemma":[0.9960051,0.000583146,0.00122744,0.001575971,0.000162654,0.0004456867],"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":[0.0005559652,0.000691465,0.00001104338,0.0008126425,0.0017557,0.00001458707,0.000680977,0.00001940211,0.000003910712,0.002754385,0.9920609,0.0006390174],"study_design_scores_gemma":[0.003189408,0.0003593944,0.000002102813,0.0001081636,0.0004152065,0.00003221609,0.0008039802,0.001338081,5.302385e-8,0.00007094667,0.9924428,0.00123766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001364687,0.0122096,0.0001979181,0.00009952142,0.002242357,0.002779563,0.9764225,0.0001884217,0.005858761],"genre_scores_gemma":[0.00001761557,0.002657293,0.000813812,0.001625899,0.001193417,0.0003735148,0.964371,0.0003890791,0.02855838],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02269962,"threshold_uncertainty_score":0.9999264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1125294820148412,"score_gpt":0.3137784419792639,"score_spread":0.2012489599644226,"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."}}