{"id":"W6976787572","doi":"10.6068/dp14ba6eeb15718","title":"Trend 1995 - 2013. National Center for Education Statistics. Completions - Postsecondary Schools: Awards of Less Than 2 Years and Greater Than 1 Year | Country: USA | Institution: TENNESSEE TECHNOLOGY CENTER AT HARRIMAN | Academic Degree: *All Degrees | Gender: All Gender | Race: All Races/Ethnicities | Degree Number: First Degree and Multiple Degrees, 1995-2013. 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); Baccalaureate Degree; Graduation (instrument); Center (category theory); Data collection; Research center","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":[0.002733536,0.00172197,0.001930591,0.006152825,0.001070398,0.003245841,0.003562743,0.001365902,0.07675496],"category_scores_gemma":[0.02762797,0.001184864,0.001365166,0.0230926,0.0003302629,0.003008971,0.001984085,0.003131957,0.07076928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004882363,"about_ca_system_score_gemma":0.00931538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2658098,"about_ca_topic_score_gemma":0.198909,"domain_scores_codex":[0.9962675,0.0004294455,0.0006982094,0.0007717942,0.001293806,0.0005392796],"domain_scores_gemma":[0.9814631,0.00242219,0.002023919,0.001090845,0.01222562,0.0007742608],"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":[0.00002642341,0.00001009525,0.001379337,0.0002198523,0.00001727151,0.00000474147,0.00001563849,0.00008049747,0.00001059227,0.0003543161,0.9966882,0.001193085],"study_design_scores_gemma":[0.0002652112,0.00002590798,0.02889736,0.0008495277,0.00007380159,0.00003215358,0.0003769163,0.0002849836,0.0001844814,0.0009559456,0.9680004,0.00005331467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007130046,0.00002878374,0.00002781893,0.00008099428,0.00003424778,0.00001029946,0.9991764,0.00003976985,0.0005302927],"genre_scores_gemma":[0.000453628,0.00006869809,0.0001595613,0.00007093952,0.000015809,0.0001183013,0.9977381,0.00005087953,0.001324056],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2658098,"threshold_uncertainty_score":0.5285252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1440339972291575,"score_gpt":0.337119354273457,"score_spread":0.1930853570442995,"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."}}