{"id":"W6920408784","doi":"10.6068/dp14ba70b0ff274","title":"Trend 1995 - 2009. National Center for Education Statistics. Completions - Postsecondary Schools: Awards of Less Than 2 Years and Greater Than 1 Year | Country: USA | State: Louisiana | Institution by State: LOUISIANA TECHNICAL COLLEGE-HUEY P LONG CAMPUS | Academic Degree: *All Degrees | Gender: All Gender | Race: All Races/Ethnicities | Degree Number: First Degree and Multiple Degrees, 1995-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 017-004-007.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics education; Postsecondary education; Quarter (Canadian coin); Graduation (instrument); Baccalaureate Degree; Institution; Higher education; Academic year","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.00224794,0.001913029,0.002204468,0.0008192496,0.0004065865,0.0005412995,0.00305365,0.001683604,0.001584267],"category_scores_gemma":[0.0002678164,0.00194934,0.0000109454,0.0002822316,0.001965695,0.001538088,0.001620395,0.002345607,0.0009209869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007612492,"about_ca_system_score_gemma":0.002489872,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1838677,"about_ca_topic_score_gemma":0.2580474,"domain_scores_codex":[0.9891651,0.0009470702,0.00247864,0.003086539,0.002529289,0.001793397],"domain_scores_gemma":[0.9920278,0.001119742,0.002232144,0.003056525,0.0002817945,0.00128204],"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":[0.001402067,0.000613012,0.00490983,0.001391739,0.001365601,0.0001477664,0.00007181199,0.00003885672,0.00002951972,0.00046086,0.9889179,0.0006510692],"study_design_scores_gemma":[0.004579991,0.0003060625,0.004356216,0.0002198606,0.001133066,0.001057034,0.0005509008,0.002590454,3.550756e-7,0.00001960789,0.9831622,0.002024293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002091009,0.009964635,0.0002409013,0.00002055397,0.0006141817,0.003403988,0.9837686,0.0003013823,0.001476701],"genre_scores_gemma":[0.003607551,0.005345672,0.004161859,0.0002044866,0.0003650111,0.0001801739,0.9840089,0.0008028086,0.001323531],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07417971,"threshold_uncertainty_score":0.999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.101890422382019,"score_gpt":0.330396807860111,"score_spread":0.2285063854780919,"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."}}