{"id":"W7053562160","doi":"","title":"Young people not in education, employment or training (NEET), UK, Aug 2016","year":2016,"lang":"en","type":"other","venue":"Digital Education Resource Archive (University College London)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Table (database); Statistical analysis; Young adult; Training (meteorology); Quarter (Canadian coin); Percentage point","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":[],"category_scores_codex":[0.00005756929,0.0003639435,0.0003553009,0.0009692683,0.0001228586,0.00006836348,0.0005105818,0.0001641406,0.00156931],"category_scores_gemma":[0.00002786735,0.0003723164,0.0001203825,0.0005819792,0.00009009332,0.000245336,0.0000890257,0.0002343278,0.0007140138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004060153,"about_ca_system_score_gemma":0.001306338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004160919,"about_ca_topic_score_gemma":0.00277957,"domain_scores_codex":[0.9986315,0.00004404118,0.0002305378,0.0004695838,0.0002322701,0.0003920727],"domain_scores_gemma":[0.9989168,0.0001425315,0.0001284098,0.000508442,0.00004368155,0.0002601438],"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":[0.00004169299,0.0001954677,0.0002644274,0.00006795416,0.00006040549,0.000004466994,0.001956243,0.00002225332,0.00003573133,0.004110313,0.9773921,0.01584898],"study_design_scores_gemma":[0.000522903,0.00002146147,0.001566342,0.0004183256,0.0000292178,0.00001573337,0.006506912,0.0001109115,0.000008026619,0.0002632082,0.9900356,0.00050138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003147734,0.0001715088,0.002626894,0.0009528588,0.0005494778,0.001196529,0.003552558,0.0005165429,0.9872859],"genre_scores_gemma":[0.02921475,0.0001689244,0.0006771075,0.0001303792,0.000324158,0.00006142139,0.0008788526,0.0002622915,0.9682821],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02606701,"threshold_uncertainty_score":0.9998729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008340124896282223,"score_gpt":0.2044053368535109,"score_spread":0.1960652119572286,"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."}}