{"id":"W6892472075","doi":"10.5255/ukda-sn-7707-7","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, January - June, 2014","year":2019,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Sample (material); Population; Current Population Survey; Survey data collection; Work (physics); Data collection","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","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","insufficient_payload"],"category_scores_codex":[0.003792502,0.001853915,0.001973256,0.001073103,0.0003728055,0.0006007917,0.01341054,0.0004765814,0.004585661],"category_scores_gemma":[0.001105978,0.001806753,0.0002084435,0.0006300464,0.000686558,0.001543515,0.01154288,0.002924876,0.2485132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001553928,"about_ca_system_score_gemma":0.0008592054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02779569,"about_ca_topic_score_gemma":0.1169097,"domain_scores_codex":[0.9879598,0.00227291,0.001455769,0.004385982,0.001812844,0.002112718],"domain_scores_gemma":[0.9731831,0.002391388,0.001302228,0.02224457,0.0001675698,0.0007111352],"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":[0.0006833834,0.0003116621,0.001358508,0.0003750983,0.000863549,0.0004341064,0.00001550132,0.00002009577,0.00002753776,0.0000389515,0.9958425,0.00002913431],"study_design_scores_gemma":[0.001967312,0.0001689828,0.01608236,0.0002643546,0.0006519996,0.0001756314,0.00002145384,0.0001862164,0.000002910341,0.0001796307,0.9782842,0.002014929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002215908,0.0003663618,0.0002561808,0.00006814057,0.00209319,0.001781439,0.9949692,0.0001208379,0.0003225238],"genre_scores_gemma":[0.00001950414,0.0003645188,0.0008502533,0.000574835,0.001321342,0.00007354526,0.9954408,0.0003267652,0.001028368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2439276,"threshold_uncertainty_score":0.9994205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06054382156232099,"score_gpt":0.3345416409996612,"score_spread":0.2739978194373402,"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."}}