{"id":"W6938670308","doi":"10.6068/dp14ba6e4f8d576","title":"Trend 1995 - 1998. National Center for Education Statistics. Completions - Postsecondary Schools: Awards of Less Than 2 Years and Greater Than 1 Year | Country: USA | State: Texas | Institution by State: LARRYS BARBER AND HAIRSTYLING COLLEGE | Academic Degree: *All Degrees | Gender: All Gender | Race: All Races/Ethnicities | Degree Number: First Degree and Multiple Degrees, 1995-1998. 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; Higher education; Institution","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":[0.00275544,0.001776055,0.00209579,0.005832809,0.001027845,0.00316673,0.003940382,0.001454084,0.07241576],"category_scores_gemma":[0.02819123,0.001294525,0.001327835,0.02252821,0.0003143546,0.002921175,0.001928864,0.003358011,0.06580636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004792453,"about_ca_system_score_gemma":0.008701059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2419679,"about_ca_topic_score_gemma":0.1642321,"domain_scores_codex":[0.9964045,0.0003833179,0.0007328099,0.0007740743,0.001216488,0.0004889487],"domain_scores_gemma":[0.9810205,0.002453784,0.002222745,0.001195897,0.01230827,0.0007988919],"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":[0.00003794267,0.00001259399,0.001637967,0.0002696859,0.00002164198,0.000005792438,0.00001926183,0.00008207506,0.00001238157,0.0003681382,0.9961895,0.001343013],"study_design_scores_gemma":[0.0003700709,0.0000315481,0.03357735,0.0009165083,0.00008301069,0.00003564913,0.0004022435,0.000269258,0.0001923137,0.000882296,0.9631881,0.00005168713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007640824,0.00002762305,0.00002522292,0.00007888686,0.00003609586,0.0000113357,0.9992371,0.00003852346,0.0004688207],"genre_scores_gemma":[0.0004594422,0.00006510539,0.0001469152,0.0000640849,0.00001510201,0.0001243922,0.9979503,0.00004164699,0.001133053],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2419679,"threshold_uncertainty_score":0.4811189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1253655862321858,"score_gpt":0.3305948255350075,"score_spread":0.2052292393028217,"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."}}