{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001015314,0.0005123065,0.0005119785,0.004670499,0.0007177377,0.001197887,0.000865277,0.0003954208,0.03980262],"category_scores_gemma":[0.005728856,0.0004276781,0.0006182295,0.006135202,0.0002459049,0.001370859,0.001965749,0.0006831058,0.02024301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646102,"about_ca_system_score_gemma":0.00348438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1107149,"about_ca_topic_score_gemma":0.1211969,"domain_scores_codex":[0.998759,0.00008816538,0.0002771945,0.0001580809,0.0003868559,0.000330707],"domain_scores_gemma":[0.9960323,0.0002880262,0.0009944552,0.0001426679,0.00171492,0.0008277087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004983202,0.0001155116,0.07980984,0.001953749,0.00005525391,0.00009892891,0.0005132636,0.0003060682,0.0001302543,0.00116192,0.874855,0.04050194],"study_design_scores_gemma":[0.0001084332,0.0001146809,0.584827,0.001348426,0.00004686676,0.0001750469,0.001105647,0.0001918199,0.0004929743,0.0003396668,0.4112116,0.00003780228],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0137302,0.0007116015,0.000169434,0.0003036438,0.0002353738,0.0002062616,0.9572328,0.0001817978,0.02722891],"genre_scores_gemma":[0.0695193,0.002898464,0.00057679,0.0006529582,0.0002215707,0.001291601,0.8010141,0.0002250947,0.1236001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1107149,"threshold_uncertainty_score":0.2201409,"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."}}