{"id":"W6906630576","doi":"10.18712/nsd-nsd2764-v1","title":"Labour Force Survey 2019, 3rd quarter","year":2019,"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; Population; Point (geometry); Order (exchange); Working population; Work (physics); Age groups","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":[0.002929376,0.001445659,0.001753408,0.003431216,0.001314672,0.001587617,0.002243356,0.001356162,0.05315765],"category_scores_gemma":[0.009648189,0.0008120447,0.0008631682,0.00698135,0.0003313889,0.002016999,0.001255129,0.002928547,0.06378407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005590423,"about_ca_system_score_gemma":0.006267357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1404847,"about_ca_topic_score_gemma":0.1408116,"domain_scores_codex":[0.997409,0.0004466437,0.0004072974,0.0003577193,0.0009612688,0.000417887],"domain_scores_gemma":[0.9948382,0.0004967893,0.0004886545,0.0002679582,0.003590779,0.0003176845],"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":[0.0001273666,0.00006246048,0.005562871,0.0007547739,0.00003685615,0.00003846266,0.0001061529,0.00010014,0.0001610872,0.0007606871,0.9787359,0.01355318],"study_design_scores_gemma":[0.0003146247,0.0001367051,0.173875,0.00128074,0.00007766244,0.0001259919,0.0004957453,0.0002420188,0.0001292479,0.0007960874,0.8224567,0.00006958822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001307155,0.001453059,0.0004831804,0.001152177,0.0008442925,0.001150402,0.9766129,0.0002119728,0.01678488],"genre_scores_gemma":[0.0114228,0.003582726,0.001525322,0.002980841,0.0003899037,0.006870245,0.9285462,0.0001739236,0.04450809],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1404847,"threshold_uncertainty_score":0.2793339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03985038360092804,"score_gpt":0.3110183845323402,"score_spread":0.2711680009314121,"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."}}