{"id":"W6957775970","doi":"10.6068/dp14ba70402da18","title":"Trend 1995 - 2003. National Center for Education Statistics. Completions - Postsecondary Schools: Awards of Less Than 2 Years and Greater Than 1 Year | Country: USA | Institution: CALIFORNIA PARAMEDICAL AND TECHNICAL COLLEGE | Academic Degree: *All Degrees | Gender: All Gender | Race: All Races/Ethnicities | Degree Number: First Degree and Multiple Degrees, 1995-2003. 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; Data collection; Academic year; Higher education","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"],"category_scores_codex":[0.001849725,0.001353636,0.001762352,0.0005033058,0.0003281628,0.0003268333,0.002026229,0.001756185,0.001738692],"category_scores_gemma":[0.0005959809,0.001311115,0.000004554527,0.0002950805,0.002428622,0.0008259258,0.001559898,0.001956962,0.0007426746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000383689,"about_ca_system_score_gemma":0.002785774,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07915045,"about_ca_topic_score_gemma":0.1152542,"domain_scores_codex":[0.9919833,0.0007012021,0.001783874,0.002325767,0.001979664,0.001226172],"domain_scores_gemma":[0.9942299,0.0008476916,0.001273809,0.002141651,0.0003429202,0.001163993],"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":[0.0008807922,0.0003849956,0.005328289,0.001103998,0.0008634257,0.00009534773,0.00003332834,0.000004667047,0.000008066795,0.001997814,0.9889886,0.0003106501],"study_design_scores_gemma":[0.003962614,0.000203048,0.00335683,0.0001812566,0.001076626,0.001866987,0.000415413,0.004038252,7.485225e-8,0.00001016272,0.9835187,0.00137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000943863,0.005926,0.0001041916,0.00002347639,0.0005240571,0.002496007,0.9888759,0.000195707,0.001760327],"genre_scores_gemma":[0.001255791,0.004007728,0.009097322,0.0002343302,0.0005053967,0.0001765415,0.9836802,0.0004738665,0.0005687536],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03610371,"threshold_uncertainty_score":0.9999214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1372118838019026,"score_gpt":0.3418983784633371,"score_spread":0.2046864946614345,"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."}}