{"id":"W6929978316","doi":"10.5255/ukda-sn-7497-5","title":"Quarterly Labour Force Survey Household Dataset, October - December, 2013","year":2017,"lang":"en","type":"other","venue":"UK Data Archive","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","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; Work force; Data collection; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001549575,0.000314555,0.0002482168,0.00005666756,0.0001284728,0.00006160694,0.001669377,0.0002589457,0.00007296497],"category_scores_gemma":[0.00005397865,0.0002967797,0.00004476759,0.00002984449,0.0001961797,0.000005162966,0.0008200595,0.0001928414,0.0000618224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005026839,"about_ca_system_score_gemma":0.00007133253,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003237108,"about_ca_topic_score_gemma":0.02834476,"domain_scores_codex":[0.9984561,0.00006833114,0.0001627839,0.0008947738,0.0001162963,0.000301762],"domain_scores_gemma":[0.9945602,0.00002222623,0.0002930155,0.004996164,0.00001881953,0.0001095134],"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":[0.00001632378,0.00002885667,0.00004921827,0.00001519688,0.0000616891,0.000004055699,0.000002138873,3.206199e-7,0.005392508,0.0001248207,0.9917424,0.0025625],"study_design_scores_gemma":[0.0001759709,0.00007327404,0.0003454412,0.00005940851,0.00002724943,0.00001327061,0.000002100946,0.0000139015,0.0005175395,0.0002778755,0.9981171,0.0003768094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001905372,0.001506151,0.08852686,0.0001387415,0.0002736725,0.0009767691,0.8449858,0.0001853643,0.06321606],"genre_scores_gemma":[0.0009841443,0.002636355,0.03514479,0.0003516535,0.0007295523,0.00003503152,0.6235052,0.0004028201,0.3362105],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2729944,"threshold_uncertainty_score":0.9999484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04007938105700598,"score_gpt":0.3198972486155232,"score_spread":0.2798178675585172,"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."}}