{"id":"W6929891579","doi":"10.5255/ukda-sn-7707-6","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, January - June, 2014","year":2017,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Reproductive Biology and Fertility","field":"Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002557257,0.001310904,0.001892691,0.003036372,0.0008567827,0.001589764,0.002135484,0.001152508,0.09882692],"category_scores_gemma":[0.0148816,0.0009440932,0.0009810013,0.008039467,0.0002639364,0.001567247,0.001850592,0.002089244,0.09040143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002340412,"about_ca_system_score_gemma":0.005562041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09861,"about_ca_topic_score_gemma":0.09119243,"domain_scores_codex":[0.9978102,0.0004065134,0.0003938771,0.0003817038,0.0006098522,0.0003978809],"domain_scores_gemma":[0.9946194,0.000679574,0.0005164354,0.000462857,0.003429485,0.0002922657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005581245,0.00001731073,0.001665413,0.0002909667,0.0000214734,0.00001179086,0.00003602502,0.00006870288,0.00001728859,0.0003033716,0.9945416,0.002970211],"study_design_scores_gemma":[0.0007242321,0.0001035832,0.07862,0.001127214,0.0001029352,0.0000801981,0.0005990697,0.0003839167,0.0001302074,0.001088312,0.9169698,0.00007072074],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002912784,0.00005676796,0.0001014443,0.0001262603,0.00007540318,0.00008934756,0.9978855,0.00005907496,0.001314942],"genre_scores_gemma":[0.001520892,0.0001825072,0.0003604191,0.0001865943,0.00005667899,0.00137917,0.9904186,0.00005953614,0.005835525],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09882692,"threshold_uncertainty_score":0.330609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07035410711564513,"score_gpt":0.3704355192842646,"score_spread":0.3000814121686195,"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."}}