{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001999772,0.001601566,0.001808208,0.0006224362,0.000393273,0.0005400511,0.001909007,0.001200057,0.0007192622],"category_scores_gemma":[0.000155022,0.001617926,0.000007075773,0.0001741882,0.001586828,0.001575776,0.001455899,0.00172248,0.000568001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004533266,"about_ca_system_score_gemma":0.001513509,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1563266,"about_ca_topic_score_gemma":0.1769583,"domain_scores_codex":[0.991383,0.0007828892,0.001929185,0.002602034,0.001897763,0.001405154],"domain_scores_gemma":[0.9938568,0.0011895,0.001700302,0.002120713,0.000131599,0.001001012],"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":[0.001116319,0.0003462089,0.00697536,0.00163899,0.001328988,0.00006362044,0.0001398992,0.00002603045,0.00003344451,0.0003904798,0.9875247,0.0004159221],"study_design_scores_gemma":[0.0046703,0.0002121329,0.002187494,0.0002062263,0.0009773711,0.0006035185,0.0007237525,0.005721759,3.950599e-7,0.00001683871,0.9829932,0.001687025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007103229,0.008332848,0.0001069315,0.00001197731,0.0004987872,0.002649181,0.9864207,0.0002077848,0.001061481],"genre_scores_gemma":[0.003834245,0.00539733,0.00434336,0.0001765472,0.0002917075,0.0001215898,0.9839901,0.0006750749,0.001170009],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02063164,"threshold_uncertainty_score":0.9996732,"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."}}