{"id":"W6892376919","doi":"10.5255/ukda-sn-7729-4","title":"Labour Force Survey Five-Quarter Longitudinal Dataset, January 2014 - March 2015","year":2017,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Nuclear and radioactivity studies","field":"Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002206031,0.0009327897,0.001280774,0.002319477,0.0008506232,0.001335007,0.001773396,0.001091648,0.05748738],"category_scores_gemma":[0.01438006,0.000631278,0.0008497098,0.005282123,0.0002127285,0.001171481,0.001461818,0.001396822,0.05031696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002037422,"about_ca_system_score_gemma":0.004016227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1323039,"about_ca_topic_score_gemma":0.1519135,"domain_scores_codex":[0.9979643,0.0004080488,0.0004025613,0.0003725012,0.0005304812,0.000322136],"domain_scores_gemma":[0.9957739,0.0004478015,0.0005316344,0.0003082788,0.002704361,0.0002339844],"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":[0.0001038646,0.000030605,0.006499402,0.0005161383,0.00004710255,0.00002280669,0.00008060183,0.0001471781,0.00002169253,0.0004726059,0.9865312,0.005526891],"study_design_scores_gemma":[0.0008473241,0.0001553759,0.1788167,0.001477244,0.0001788613,0.0001170308,0.0009733225,0.0005914418,0.0001298642,0.001230777,0.8154021,0.00008010144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001033639,0.0002096097,0.0001412578,0.0002506872,0.00008583017,0.0001358274,0.995867,0.00007023369,0.002205894],"genre_scores_gemma":[0.005284304,0.0004190712,0.0003921417,0.0003753752,0.00008667848,0.001467462,0.9834784,0.00004559601,0.008451009],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1323039,"threshold_uncertainty_score":0.2630675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03852170391821712,"score_gpt":0.3091074657019482,"score_spread":0.2705857617837311,"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."}}