{"id":"W6911032334","doi":"10.5255/ukda-sn-7378-4","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, January - June, 2013","year":2017,"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); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","insufficient_payload"],"category_scores_codex":[0.003780598,0.001867497,0.001920485,0.0009119434,0.001076263,0.00125027,0.02024684,0.0004802014,0.002760634],"category_scores_gemma":[0.001950802,0.00181823,0.0002054235,0.0003184997,0.00127748,0.002263065,0.01480145,0.002927945,0.1281955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001328286,"about_ca_system_score_gemma":0.0008649429,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08999365,"about_ca_topic_score_gemma":0.397045,"domain_scores_codex":[0.9888211,0.001796563,0.001333374,0.004197029,0.00171314,0.002138746],"domain_scores_gemma":[0.9652623,0.001546369,0.001909878,0.03021907,0.0001890564,0.0008733328],"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":[0.0005282015,0.0002993852,0.0008758025,0.0002526687,0.0008788718,0.0009515041,0.00001566532,0.000005447026,0.00001469714,0.00002460565,0.9960931,0.00006003246],"study_design_scores_gemma":[0.001790686,0.0001218632,0.02477781,0.0003377346,0.0006783502,0.0002131836,0.00001421182,0.0001228111,0.000001935913,0.0003272431,0.969643,0.001971196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002103319,0.0004092386,0.0001273027,0.0001390598,0.001885535,0.001468587,0.9954727,0.0001317407,0.0003447962],"genre_scores_gemma":[0.00002111577,0.0005828108,0.0009301766,0.0003052903,0.001754356,0.000107621,0.9948195,0.0002965291,0.001182632],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3070514,"threshold_uncertainty_score":0.9997866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07160958648569249,"score_gpt":0.3561600427897722,"score_spread":0.2845504563040797,"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."}}