{"id":"W6888012172","doi":"10.18712/nsd-nsd2600-v1","title":"Labour Force Survey 2018, 2nd Quarter","year":2018,"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":[0.004441217,0.002472111,0.002410246,0.001328007,0.0007948686,0.0009818206,0.005870804,0.00179064,0.003442911],"category_scores_gemma":[0.001829988,0.002414776,0.0009817632,0.001087424,0.000693171,0.001962388,0.002070336,0.001495911,0.02526953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005779184,"about_ca_system_score_gemma":0.0004052614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009968395,"about_ca_topic_score_gemma":0.04105271,"domain_scores_codex":[0.9885515,0.0006868502,0.002248223,0.003529416,0.00182035,0.00316366],"domain_scores_gemma":[0.9876149,0.0009313044,0.002230234,0.007164118,0.001187274,0.0008722199],"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":[0.001150068,0.0004115569,0.0009967543,0.0007212957,0.0008874571,0.00003644721,0.00008019109,0.000001186779,0.0000601776,0.00002768771,0.9955909,0.00003628527],"study_design_scores_gemma":[0.0034486,0.0009617489,0.000895635,0.0005226111,0.0006637889,0.0001144876,0.0000521289,0.00009934773,0.00009304579,0.0003521327,0.9902731,0.002523411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001237134,0.0001467938,0.0007566927,0.0001339019,0.005527601,0.00305954,0.9885797,0.0004770327,0.00008164087],"genre_scores_gemma":[0.0001356653,0.00005277561,0.00131936,0.001089624,0.003397165,0.0005038399,0.9840629,0.0008743877,0.008564335],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03108431,"threshold_uncertainty_score":0.9995079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03865008243010049,"score_gpt":0.3077230821496894,"score_spread":0.2690729997195889,"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."}}