{"id":"W7030099810","doi":"","title":"NEET Statistics Quarterly Brief: July to September 2016","year":2016,"lang":"en","type":"other","venue":"Digital Education Resource Archive (University College London)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Percentage point; Quarter (Canadian coin); Age groups; Statistical analysis","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00011454,0.0008048166,0.0007247019,0.002317346,0.0002949934,0.0001918162,0.001191401,0.0002955438,0.005752203],"category_scores_gemma":[0.00009995838,0.0009005803,0.0002808626,0.0008960085,0.0004324918,0.0005468043,0.000288167,0.0004012827,0.09636401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006407326,"about_ca_system_score_gemma":0.001808973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003464189,"about_ca_topic_score_gemma":0.0008584168,"domain_scores_codex":[0.9964954,0.0002440627,0.0003525451,0.001236705,0.0007854177,0.0008859231],"domain_scores_gemma":[0.9964554,0.0003897414,0.0005952339,0.001268722,0.0002330723,0.001057852],"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":[0.0002962726,0.0004188721,0.00006359141,0.00007618287,0.0002299099,0.00007851051,0.001076798,0.000001494498,0.000024825,0.0102426,0.9696649,0.01782602],"study_design_scores_gemma":[0.001180557,0.0002361052,0.000463538,0.0005360503,0.0001133917,0.00003035573,0.002863869,0.00001319845,0.000001283976,0.0007898026,0.9926689,0.001102896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002013047,0.00006332672,0.00990392,0.0004693707,0.0004414058,0.001465589,0.1302782,0.0006098635,0.856567],"genre_scores_gemma":[0.0003803199,0.000008124457,0.003921652,0.0004923753,0.0005921045,0.00001328595,0.003715135,0.001067945,0.989809],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.133242,"threshold_uncertainty_score":0.9993445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004433712055745019,"score_gpt":0.2149578398223026,"score_spread":0.2105241277665576,"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."}}