{"id":"W6930190872","doi":"10.5255/ukda-sn-9298-1","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, January - June, 2024","year":2024,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Scoliosis diagnosis and treatment","field":"Medicine","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; Survey sampling","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":[0.002121557,0.001004982,0.001229008,0.002374055,0.0008907035,0.001321859,0.001632264,0.001284678,0.05622819],"category_scores_gemma":[0.01029659,0.0006859053,0.0007252732,0.006633112,0.0001687908,0.001000888,0.001179522,0.001486571,0.05707933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002094973,"about_ca_system_score_gemma":0.004570839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1575941,"about_ca_topic_score_gemma":0.1789053,"domain_scores_codex":[0.9983224,0.0002976801,0.00027818,0.0002986041,0.0004804008,0.0003227181],"domain_scores_gemma":[0.9959632,0.0003958742,0.000412301,0.0002881607,0.002663873,0.0002764467],"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":[0.0001017672,0.00002940959,0.00564704,0.0004003308,0.00003598173,0.00002273668,0.00004498601,0.0001081531,0.00002997071,0.0002507599,0.988444,0.004884827],"study_design_scores_gemma":[0.00100701,0.0001690514,0.2074282,0.0009690723,0.0001438001,0.0001156319,0.0007555662,0.0005780451,0.0001358587,0.0006663406,0.7879702,0.00006113118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006730308,0.0001339296,0.00007653487,0.0001904534,0.00005903011,0.00007696782,0.9970605,0.00004708975,0.001682471],"genre_scores_gemma":[0.003283015,0.0002578169,0.0002574076,0.0002640515,0.00005006974,0.0009921914,0.9874604,0.00003183688,0.007403237],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1575941,"threshold_uncertainty_score":0.3133536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06385545870134665,"score_gpt":0.3620517394834107,"score_spread":0.2981962807820641,"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."}}