{"id":"W6929908425","doi":"10.5255/ukda-sn-7923-2","title":"Quarterly Labour Force Survey Household Dataset, July - September, 2015","year":2017,"lang":"en","type":"other","venue":"UK Data Archive","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Survey data collection; Sample (material); Work (physics); 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":[0.002717401,0.001241251,0.001709369,0.003315711,0.0006599756,0.001681762,0.001800716,0.0008766472,0.09033167],"category_scores_gemma":[0.01403272,0.0007541814,0.0008738259,0.0080373,0.0002309192,0.001388474,0.001711872,0.001712753,0.09481028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001991474,"about_ca_system_score_gemma":0.004445984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08347712,"about_ca_topic_score_gemma":0.07407634,"domain_scores_codex":[0.9979351,0.0003853025,0.0004023613,0.0003489855,0.0006160409,0.0003123006],"domain_scores_gemma":[0.9949111,0.0007624159,0.0005046449,0.000457995,0.003101215,0.0002626446],"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":[0.00003942579,0.00001426178,0.0015107,0.000279044,0.0000190309,0.00001143887,0.00003838412,0.00006915173,0.00001464749,0.0004152457,0.9936621,0.003926499],"study_design_scores_gemma":[0.000350174,0.00005778403,0.05799278,0.0009437906,0.00006546308,0.00006453373,0.0004792642,0.0002904512,0.00009265759,0.001128155,0.9384841,0.00005099306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002644581,0.00007599798,0.0001173125,0.0001059268,0.00007826286,0.00007865337,0.9979084,0.00006103884,0.001309948],"genre_scores_gemma":[0.00124061,0.0002028194,0.0003370995,0.0001378904,0.00004619415,0.0007671405,0.9928343,0.00004720558,0.004386774],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09033167,"threshold_uncertainty_score":0.3021895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03393314180397847,"score_gpt":0.2763623146153698,"score_spread":0.2424291728113913,"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."}}