{"id":"W6925473969","doi":"10.18712/nsd-nsd0580-v1","title":"Labour Force Survey 1993","year":2009,"lang":"en","type":"dataset","venue":"NSD – Norsk senter for forskningsdata","topic":"Medical History and Innovations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Official statistics; Social security; Sampling frame; Sample (material); Index (typography); Population; Current Population Survey; Census","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":[0.003429394,0.001692481,0.002208973,0.004168266,0.001853781,0.001982594,0.002832537,0.001522661,0.08928792],"category_scores_gemma":[0.009999149,0.0007818003,0.000799784,0.007453948,0.0003088547,0.001855476,0.001266838,0.002393488,0.06325178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006215381,"about_ca_system_score_gemma":0.006804415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1444582,"about_ca_topic_score_gemma":0.1288793,"domain_scores_codex":[0.9963133,0.0006015824,0.0005944598,0.000524749,0.001448042,0.0005179114],"domain_scores_gemma":[0.9928806,0.0007207704,0.0006030529,0.0002402254,0.005305843,0.0002495197],"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":[0.00009647985,0.00009194958,0.0064181,0.0007486393,0.00003460674,0.00004419689,0.0002453725,0.0001229756,0.00008252871,0.001180283,0.9696876,0.0212472],"study_design_scores_gemma":[0.0003175437,0.0001349414,0.1160019,0.001054513,0.0000571604,0.0001441974,0.000814229,0.0002304575,0.00009504415,0.0006338437,0.8804512,0.00006490893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001993799,0.001367636,0.0005444209,0.001427782,0.0006285011,0.002723391,0.9554585,0.0002435408,0.03561238],"genre_scores_gemma":[0.01378012,0.004816235,0.003263766,0.002895205,0.0003349668,0.01638602,0.9035869,0.0002439447,0.05469274],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1444582,"threshold_uncertainty_score":0.2986978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06930288722327879,"score_gpt":0.2807800760286475,"score_spread":0.2114771888053687,"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."}}