{"id":"W6906863908","doi":"10.18712/nsd-nsd1266-4-v2","title":"Labour Force Survey 2008, 4th quarter","year":2009,"lang":"en","type":"dataset","venue":"NSD – Norsk senter for forskningsdata","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Comparability; Social security; Index (typography); Population; Official statistics; Sample (material); Point (geometry)","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":[0.00258159,0.00116745,0.001634904,0.002825116,0.0008382909,0.001386158,0.001895931,0.001205846,0.03085489],"category_scores_gemma":[0.007921785,0.0007224779,0.0006305877,0.004473798,0.0002509914,0.001993414,0.001068776,0.002372831,0.0369804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00335715,"about_ca_system_score_gemma":0.003495414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0577158,"about_ca_topic_score_gemma":0.06129574,"domain_scores_codex":[0.9979751,0.000387618,0.0003111973,0.0003612747,0.0006825113,0.0002823423],"domain_scores_gemma":[0.996285,0.0003628794,0.0004310829,0.0002008991,0.002524704,0.0001953427],"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":[0.0001650557,0.0001105087,0.009532304,0.0007832487,0.00003604755,0.00003959788,0.0001917326,0.0001161613,0.0001718571,0.0008557492,0.9742349,0.01376285],"study_design_scores_gemma":[0.0004097037,0.0001960516,0.2331055,0.001133616,0.00006072635,0.0001478539,0.0006941509,0.0003369299,0.0001513737,0.0005700979,0.7631334,0.00006072774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004061801,0.00108142,0.0005999104,0.001296455,0.0006541696,0.002049418,0.9721614,0.0002731732,0.01782228],"genre_scores_gemma":[0.01892057,0.003949723,0.002803297,0.003549109,0.000447859,0.0122939,0.9194639,0.0001865299,0.03838498],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0577158,"threshold_uncertainty_score":0.1147597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03088393254277789,"score_gpt":0.301295987776506,"score_spread":0.2704120552337281,"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."}}