{"id":"W6963242378","doi":"10.18712/nsd-nsd2933-v2","title":"Labour Force Survey 2020, 4th Quarter","year":2022,"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":[0.002341632,0.001095883,0.001412577,0.002814976,0.001003128,0.001164447,0.001619702,0.001076354,0.07052045],"category_scores_gemma":[0.006938385,0.0007300246,0.0006151147,0.00547251,0.0002218773,0.001671896,0.0008657669,0.001770285,0.06660043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002565326,"about_ca_system_score_gemma":0.00389776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0740502,"about_ca_topic_score_gemma":0.08370988,"domain_scores_codex":[0.9986738,0.0002576985,0.0001854008,0.0001889393,0.0004512913,0.0002428667],"domain_scores_gemma":[0.9972275,0.0002955662,0.0002659407,0.0001350335,0.00184113,0.0002348522],"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":[0.00008811829,0.00004848709,0.004026392,0.0004569146,0.00002118951,0.00002796688,0.00005711078,0.00005894312,0.00008602902,0.0005473725,0.9856988,0.008882725],"study_design_scores_gemma":[0.0003747809,0.0001807912,0.1821684,0.0009234617,0.00006176803,0.0001463148,0.0004986913,0.0002262268,0.0001154442,0.0007501758,0.8145036,0.00005023669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001303584,0.0007140153,0.0002595444,0.0005001037,0.0003658787,0.0005368402,0.9822921,0.0001543222,0.01387376],"genre_scores_gemma":[0.007150234,0.001562259,0.001152699,0.001341674,0.000192874,0.003532371,0.9533179,0.0001219464,0.03162808],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0740502,"threshold_uncertainty_score":0.2359145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02858753394036231,"score_gpt":0.2963014116856382,"score_spread":0.2677138777452759,"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."}}