{"id":"W6930046251","doi":"10.5255/ukda-sn-4292-1","title":"Labour Force Survey Five-Quarter Longitudinal Dataset, June 1996 - August 1997","year":2004,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","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; Spring (device)","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":[0.002231166,0.001102711,0.001338285,0.002581484,0.0008403306,0.001561194,0.002015136,0.001055053,0.06306386],"category_scores_gemma":[0.01047627,0.0007429149,0.0005646134,0.007243375,0.0001888138,0.0010049,0.001117155,0.001346137,0.05839199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002500639,"about_ca_system_score_gemma":0.004502744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1523347,"about_ca_topic_score_gemma":0.1627387,"domain_scores_codex":[0.9983303,0.000272835,0.0002958504,0.0003122397,0.0005264009,0.0002623761],"domain_scores_gemma":[0.9959752,0.0004036608,0.000574155,0.0003380344,0.002477677,0.0002312902],"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":[0.0001324177,0.00003064407,0.005558093,0.0003329161,0.00003227123,0.00002666876,0.00007270603,0.0001485177,0.0000190141,0.0003337563,0.987723,0.005590062],"study_design_scores_gemma":[0.0008911885,0.0001172661,0.1618122,0.0007969391,0.0001133302,0.000094025,0.0008081184,0.00043124,0.0001248525,0.0006179783,0.834146,0.00004682826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007618043,0.0001366725,0.00007550365,0.0001749754,0.00005709352,0.000102858,0.9967463,0.00005256106,0.001892216],"genre_scores_gemma":[0.003570228,0.0003284548,0.0002465854,0.0001793479,0.0000431003,0.00110176,0.9858845,0.000037595,0.008608439],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1523347,"threshold_uncertainty_score":0.302896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02843034407008027,"score_gpt":0.2815907799075142,"score_spread":0.253160435837434,"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."}}