{"id":"W6944278038","doi":"10.18712/nsd-nsd2200-1-v1","title":"Labour Force Survey 2015, 1st quarter","year":2015,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.006182082,0.002482721,0.002631899,0.001335789,0.0005247819,0.0009392709,0.005791156,0.001753449,0.001509976],"category_scores_gemma":[0.002404835,0.002433319,0.0008719649,0.001129342,0.0004242121,0.002138817,0.002105522,0.001823308,0.03044492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008527047,"about_ca_system_score_gemma":0.000772074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01057841,"about_ca_topic_score_gemma":0.03490404,"domain_scores_codex":[0.9883618,0.0007808591,0.002239951,0.003228715,0.002332923,0.003055752],"domain_scores_gemma":[0.9872165,0.0007969443,0.002172674,0.006693956,0.001861101,0.001258773],"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":[0.001189836,0.0004608798,0.0007901601,0.0006578934,0.0007819327,0.00005676789,0.00009713956,0.000006355603,0.00003161475,0.00003357703,0.9958459,0.0000479066],"study_design_scores_gemma":[0.004502214,0.0007048505,0.0003621141,0.000423173,0.0006669092,0.0001336724,0.0001148751,0.0001320922,0.00002980878,0.0004066971,0.9899558,0.002567742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004007939,0.0004107639,0.000567172,0.0002582585,0.004392794,0.003172285,0.9901723,0.0005202674,0.0001053456],"genre_scores_gemma":[0.0001302907,0.00005333697,0.0009309876,0.0009023453,0.002104505,0.0005900302,0.9842451,0.0008798232,0.01016355],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02893494,"threshold_uncertainty_score":0.999588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05374063606063176,"score_gpt":0.3321942190293471,"score_spread":0.2784535829687153,"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."}}