{"id":"W6925552247","doi":"10.18712/nsd-nsd3062-v1","title":"Labour Force Survey 2017, Year File","year":2022,"lang":"en","type":"dataset","venue":"NSD – Norsk senter for forskningsdata","topic":"Sustainable Finance and Green Bonds","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Sample (material); Welfare; Data collection; Population; Current Population Survey; Survey sampling; Data file","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":[0.001763202,0.001293627,0.001439978,0.003530891,0.0008667813,0.001766959,0.001674836,0.0008590794,0.07592446],"category_scores_gemma":[0.008337205,0.0007417215,0.0006395,0.009102831,0.0002568974,0.001614187,0.001355821,0.001309578,0.08514461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0019239,"about_ca_system_score_gemma":0.003731678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06690833,"about_ca_topic_score_gemma":0.06324446,"domain_scores_codex":[0.9982395,0.0002718863,0.000297497,0.0003209371,0.0005850819,0.0002850379],"domain_scores_gemma":[0.9959646,0.0006436482,0.0005374904,0.0003368818,0.002234521,0.0002828534],"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":[0.00005012125,0.00002576598,0.001877552,0.000239913,0.00001161323,0.00001737483,0.00004464348,0.00006379229,0.00002659527,0.0003318917,0.9949901,0.002320695],"study_design_scores_gemma":[0.0002580226,0.00004958065,0.04740013,0.0005360193,0.00002851318,0.00006614566,0.0005084033,0.0001793844,0.0001394725,0.0006296209,0.9501687,0.00003605593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002796345,0.00003571857,0.00004152149,0.00005733934,0.0000369192,0.00004405274,0.9984132,0.00003884116,0.001052828],"genre_scores_gemma":[0.0008535343,0.000121577,0.0001648982,0.00007123284,0.00003150555,0.0004084335,0.9951008,0.00003759557,0.003210479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07592446,"threshold_uncertainty_score":0.2539926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04483827825594687,"score_gpt":0.2515461812977268,"score_spread":0.2067079030417799,"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."}}