{"id":"W6929697144","doi":"10.5255/ukda-sn-6205-2","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, January - June, 2008","year":2015,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Insect Utilization and Effects","field":"Agricultural and Biological Sciences","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":[0.001948826,0.000955477,0.001265102,0.002046932,0.0008812018,0.001294992,0.001857919,0.001183925,0.05308132],"category_scores_gemma":[0.009997251,0.0007221049,0.0006608687,0.005095792,0.0001937762,0.00106528,0.001294414,0.001770439,0.0567848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001930222,"about_ca_system_score_gemma":0.003684968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1303355,"about_ca_topic_score_gemma":0.1708057,"domain_scores_codex":[0.9985074,0.0002698691,0.0002436,0.0003029342,0.0004182957,0.0002577991],"domain_scores_gemma":[0.9960293,0.0003924503,0.000474358,0.0003458116,0.002518183,0.0002399777],"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":[0.00008987406,0.00003201639,0.004406546,0.0002803327,0.00002633402,0.00001809131,0.00005777912,0.00009291668,0.00002163973,0.0002686162,0.9907292,0.003976722],"study_design_scores_gemma":[0.001010496,0.0001638946,0.1981073,0.0008572183,0.0001226015,0.0001265038,0.0008103505,0.0005222586,0.0001208053,0.0007010027,0.7973894,0.00006816654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009198312,0.0001216865,0.0001128556,0.0002368834,0.00006187527,0.0001309366,0.9962779,0.00006782565,0.002070194],"genre_scores_gemma":[0.004081696,0.0002778434,0.0003892234,0.0003489958,0.00006642068,0.001520852,0.9849125,0.00004395291,0.008358647],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1303355,"threshold_uncertainty_score":0.2591536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07011132650867916,"score_gpt":0.2981224221819354,"score_spread":0.2280110956732562,"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."}}