{"id":"W6920538299","doi":"10.6068/dp14ba6eebb1721","title":"Trend 1998 - 2013. National Center for Education Statistics. Completions - Postsecondary Schools: Awards of Less Than 4 Years and Greater Than 2 Years | Country: USA | State: Tennessee | Institution by State: TENNESSEE TECHNOLOGY CENTER AT MEMPHIS | Academic Degree: *All Degrees | Gender: All Gender | Race: All Races/Ethnicities | Degree Number: First Degree and Multiple Degrees, 1998-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 017-004-008.","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; Memphis; Quarter (Canadian coin); Higher education; Graduation (instrument); Institution; Baccalaureate Degree","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":[0.002653679,0.001557222,0.001903496,0.005549749,0.0009743567,0.002816919,0.003435558,0.00141596,0.07508843],"category_scores_gemma":[0.03004389,0.001098385,0.001444464,0.02166107,0.0003190791,0.002889817,0.002007186,0.003208643,0.06572443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003871884,"about_ca_system_score_gemma":0.007255627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.179021,"about_ca_topic_score_gemma":0.1350327,"domain_scores_codex":[0.9965615,0.0004240274,0.0006838785,0.0007249719,0.001133826,0.000471761],"domain_scores_gemma":[0.9806939,0.002902532,0.002132878,0.001182713,0.01232074,0.000767127],"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":[0.00003506988,0.00001298282,0.001604108,0.0002918464,0.00001991722,0.000005136307,0.00001785644,0.00008023166,0.00001316047,0.0003563268,0.9962223,0.001341127],"study_design_scores_gemma":[0.0003696742,0.00003224023,0.03276439,0.001014153,0.00007968881,0.00003748831,0.0003872307,0.0003364283,0.0002003858,0.001117338,0.9636014,0.00005960827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007706216,0.00002486647,0.00003107387,0.00008486244,0.00003588394,0.00001161442,0.9991739,0.00004617672,0.0005144824],"genre_scores_gemma":[0.0005236922,0.00006682298,0.0001897183,0.00008503026,0.00001911841,0.0001506181,0.9977481,0.00005805698,0.001158883],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.179021,"threshold_uncertainty_score":0.355958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1068662529986919,"score_gpt":0.3235758576236524,"score_spread":0.2167096046249605,"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."}}