{"id":"W6892353751","doi":"10.5255/ukda-sn-8413-1","title":"Quarterly Labour Force Survey Household Dataset, July - September, 2018","year":2018,"lang":"en","type":"other","venue":"UK Data Archive","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Work (physics); Sample (material); Survey data collection; Northern ireland; Data collection; Work force; Data source","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":[0.001614672,0.0009062704,0.00123967,0.002883054,0.0007033917,0.001699395,0.001728627,0.000985234,0.1161402],"category_scores_gemma":[0.01093917,0.0005018806,0.0007032097,0.006766879,0.0001739184,0.001122352,0.001276596,0.001507765,0.1313166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285572,"about_ca_system_score_gemma":0.002940889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07639036,"about_ca_topic_score_gemma":0.0814365,"domain_scores_codex":[0.9984101,0.0002829094,0.0002609357,0.0002765393,0.0005264997,0.0002430422],"domain_scores_gemma":[0.996156,0.0004827189,0.000373246,0.0003373981,0.002415573,0.0002351331],"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":[0.0000339818,0.00001699734,0.001901836,0.0001991302,0.00001339111,0.00001272371,0.00003549859,0.00005816498,0.000009916958,0.0003147225,0.9924051,0.004998537],"study_design_scores_gemma":[0.000259146,0.00004746436,0.06099332,0.0005891272,0.00003967737,0.00006579946,0.0004735651,0.0003038257,0.00005729845,0.0007597663,0.936379,0.00003215476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005199202,0.0001587561,0.0001351309,0.0002537856,0.000120145,0.0001071001,0.9942427,0.00009549244,0.004366927],"genre_scores_gemma":[0.002141103,0.0002987492,0.0002957546,0.0002208082,0.00009114944,0.0006910393,0.9863082,0.00005249409,0.009900734],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1161402,"threshold_uncertainty_score":0.3885276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07179994710707534,"score_gpt":0.3054062915149863,"score_spread":0.2336063444079109,"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."}}