{"id":"W6967207907","doi":"10.5255/ukda-sn-8327-3","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, July - December, 2017","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002003939,0.001004773,0.001332299,0.002399783,0.0008559912,0.001554907,0.001858035,0.00115265,0.06959869],"category_scores_gemma":[0.01172555,0.0006806919,0.0008488189,0.006077021,0.0002084031,0.001074219,0.001521143,0.001775747,0.07101024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777352,"about_ca_system_score_gemma":0.004062435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1202653,"about_ca_topic_score_gemma":0.1393789,"domain_scores_codex":[0.9982393,0.0003564299,0.0003181359,0.0002993602,0.0004621951,0.0003246795],"domain_scores_gemma":[0.9957532,0.0004671738,0.000505573,0.0003628646,0.002643573,0.000267775],"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":[0.0000943652,0.00003144011,0.005104817,0.0003760312,0.00003516609,0.00002079813,0.00006574979,0.0001164818,0.00001973495,0.0003724316,0.9893305,0.0044326],"study_design_scores_gemma":[0.0009430782,0.0001366067,0.1384453,0.001170355,0.0001234127,0.0001078398,0.0009649437,0.0005800765,0.0001204616,0.0009878691,0.8563548,0.00006531001],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008441758,0.0001504132,0.0001128382,0.0002355131,0.00008214099,0.0001274984,0.9960793,0.0000659591,0.002302235],"genre_scores_gemma":[0.003509392,0.0003033795,0.0002763567,0.0002580144,0.0000759891,0.00137088,0.9864841,0.0000496805,0.007672118],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1202653,"threshold_uncertainty_score":0.2391304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09408374034931101,"score_gpt":0.3506078632752511,"score_spread":0.2565241229259401,"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."}}