{"id":"W7111205471","doi":"10.18712/nsd-nsd2391-v3","title":"Labour Force Survey 1st quarter 2015 - 4th quarter 2016, panel","year":2025,"lang":"","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); Norwegian; Population; Data collection; Census; Club","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00273746,0.001254459,0.001435961,0.002502417,0.0008152573,0.001505183,0.001415467,0.0009471379,0.05923416],"category_scores_gemma":[0.007684974,0.0007465346,0.0007262899,0.00549545,0.0002602318,0.001696195,0.001458087,0.00164247,0.05373254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002859835,"about_ca_system_score_gemma":0.004009179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09754656,"about_ca_topic_score_gemma":0.08550431,"domain_scores_codex":[0.998016,0.0003020984,0.0002571153,0.0003835873,0.0007076989,0.0003335752],"domain_scores_gemma":[0.9968478,0.0002752799,0.0003694982,0.000222356,0.002078383,0.000206663],"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":[0.0001991335,0.00005705456,0.007535327,0.0006748027,0.0000301851,0.00002151426,0.0001311429,0.0001245568,0.0001865337,0.0007246605,0.9790987,0.01121644],"study_design_scores_gemma":[0.0004189999,0.0001269817,0.2475745,0.001108042,0.00005620519,0.00005449963,0.0005108198,0.0002267418,0.0002398682,0.0005352669,0.7491043,0.00004380492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002431652,0.0004779606,0.0003416917,0.000343632,0.0005528315,0.0008576638,0.9828722,0.0001239405,0.01199848],"genre_scores_gemma":[0.009494132,0.001834878,0.001126249,0.0009126805,0.0003408126,0.005026613,0.9386321,0.000108371,0.04252416],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9407659,"threshold_uncertainty_score":0.198158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04012619068193437,"score_gpt":0.3103285445966331,"score_spread":0.2702023539146988,"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."}}