{"id":"W6967460790","doi":"10.5255/ukda-sn-7904-5","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, July - December, 2015","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":[0.002209765,0.000961185,0.001304115,0.002205612,0.0008341463,0.001395344,0.001770011,0.001096219,0.05769163],"category_scores_gemma":[0.012295,0.0007152198,0.0008587366,0.005288002,0.0001978053,0.001057608,0.001452647,0.001625274,0.05584514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001873927,"about_ca_system_score_gemma":0.003917979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1283216,"about_ca_topic_score_gemma":0.1526209,"domain_scores_codex":[0.9981728,0.0003547665,0.0003514928,0.0003229585,0.0004825925,0.0003154366],"domain_scores_gemma":[0.9956815,0.0004568746,0.0005346559,0.0003609203,0.002695135,0.0002709934],"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":[0.00009828635,0.00003263328,0.00614317,0.0004207786,0.00004079989,0.00002077727,0.00007372984,0.0001337932,0.00002428696,0.0004142323,0.9877443,0.004853316],"study_design_scores_gemma":[0.0009385008,0.000166851,0.1961513,0.001209193,0.00015098,0.000124352,0.0008969207,0.0006321697,0.0001338445,0.001002721,0.7985197,0.00007356643],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009079975,0.0001602117,0.0001238683,0.0002134504,0.00007243034,0.0001259709,0.9962471,0.00006488981,0.002084087],"genre_scores_gemma":[0.004234119,0.0003130056,0.000341869,0.0003000801,0.00006665919,0.001285897,0.9862431,0.00004129899,0.007173955],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1283216,"threshold_uncertainty_score":0.2551495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07760239556567633,"score_gpt":0.3507297516841155,"score_spread":0.2731273561184392,"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."}}