{"id":"W6967176398","doi":"10.5255/ukda-sn-7789-6","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, January - June, 2015","year":2020,"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); Sample (material); Unemployment; Survey data collection; Work (physics); Data collection; Longitudinal study; Longitudinal data","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":[0.002503972,0.001790438,0.001888629,0.0007465892,0.000410972,0.0006119289,0.01268783,0.0003840069,0.002163376],"category_scores_gemma":[0.001964223,0.001798578,0.0001913305,0.00102207,0.0007346704,0.001359331,0.01305537,0.003172439,0.1535184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001436014,"about_ca_system_score_gemma":0.0009729484,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02158487,"about_ca_topic_score_gemma":0.1200423,"domain_scores_codex":[0.9883339,0.002219617,0.001466285,0.00429236,0.001847083,0.001840721],"domain_scores_gemma":[0.9814329,0.001698164,0.001131661,0.01442151,0.0001540105,0.0011618],"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":[0.0008310605,0.0002620091,0.0003868397,0.0003140485,0.0009302032,0.001376845,0.0000292674,0.000008396089,0.00002477814,0.000037857,0.9957663,0.00003234365],"study_design_scores_gemma":[0.001776401,0.0001858881,0.006721693,0.0002027668,0.0007152584,0.0001686807,0.00003309503,0.000190392,0.000003413807,0.000243377,0.9878668,0.001892191],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000004980744,0.0002710039,0.0002767327,0.0002830231,0.001232139,0.001393454,0.9961568,0.0001962753,0.0001856223],"genre_scores_gemma":[0.00001343435,0.0002786979,0.001358128,0.001081143,0.001807063,0.0000839652,0.9948061,0.0003116864,0.0002597993],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.151355,"threshold_uncertainty_score":0.9994841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06651434580650406,"score_gpt":0.3396612141541918,"score_spread":0.2731468683476878,"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."}}