{"id":"W6988206948","doi":"","title":"Young people not in education, employment or training (NEET), year to 31 December 2015","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":"Quarter (Canadian coin); Destinations; Statistical analysis; Data collection; Training (meteorology)","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":[0.0002045107,0.0007066157,0.0007474745,0.003551698,0.0002250859,0.0001557476,0.001103778,0.0002729812,0.003493202],"category_scores_gemma":[0.000294108,0.0007598258,0.000237727,0.001783925,0.0001989852,0.000604925,0.0004554796,0.0004026819,0.01311002],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521662,"about_ca_system_score_gemma":0.006439414,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00151998,"about_ca_topic_score_gemma":0.02877887,"domain_scores_codex":[0.9965304,0.0002085002,0.0004109484,0.001247094,0.0007470408,0.0008560415],"domain_scores_gemma":[0.9972099,0.0002761457,0.0004793789,0.001035937,0.0001891843,0.0008094661],"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":[0.0006821391,0.0008370143,0.002448355,0.00005499147,0.0001096834,0.00001735334,0.00836183,0.000006974068,0.00002763266,0.003442382,0.9774637,0.006547953],"study_design_scores_gemma":[0.001256722,0.00009975685,0.008359198,0.0007736225,0.00006043651,0.00003696576,0.03753792,0.00000891745,0.000002874993,0.000142444,0.9507902,0.0009310061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01950726,0.00007707528,0.0002693434,0.002223204,0.0008227001,0.002690555,0.009705847,0.0004477858,0.9642562],"genre_scores_gemma":[0.01495108,0.00002445489,0.001625503,0.0004358225,0.0005163414,0.00006511181,0.001600135,0.0007816667,0.9799999],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02917609,"threshold_uncertainty_score":0.9994853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186871891834508,"score_gpt":0.2510955612058619,"score_spread":0.2392268422875168,"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."}}