{"id":"W6948765205","doi":"10.5255/ukda-sn-6278-2","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, January - June, 2009","year":2015,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","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":[0.002024894,0.0009424418,0.001292817,0.002078847,0.0009050476,0.001329388,0.001886566,0.001182239,0.05352058],"category_scores_gemma":[0.01023944,0.0007026106,0.0007324413,0.005364543,0.0001902549,0.001059721,0.001328034,0.001709666,0.05773107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002057433,"about_ca_system_score_gemma":0.003902524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1495152,"about_ca_topic_score_gemma":0.197317,"domain_scores_codex":[0.9984367,0.0002736647,0.0002761966,0.0003082054,0.0004349964,0.0002701033],"domain_scores_gemma":[0.9960535,0.0003967426,0.0004588478,0.0003509374,0.002496161,0.0002439334],"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":[0.00009691096,0.00003408386,0.005010166,0.0003231774,0.00003161599,0.00001929222,0.00005550584,0.0001044942,0.0000259726,0.0003026082,0.9897367,0.004259608],"study_design_scores_gemma":[0.0009978166,0.0001573885,0.2102732,0.0009379663,0.0001316644,0.0001258507,0.0007823993,0.0005333414,0.0001352273,0.0007437232,0.7851079,0.00007352601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007636614,0.0001132358,0.0001001271,0.0001934528,0.00005767544,0.000115533,0.9967098,0.00005263457,0.001893789],"genre_scores_gemma":[0.003803982,0.0002738333,0.0003649384,0.0003184408,0.00005818105,0.001249247,0.986401,0.0000411667,0.007489111],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1495152,"threshold_uncertainty_score":0.2972898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09929834146100575,"score_gpt":0.3104836940466316,"score_spread":0.2111853525856258,"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."}}