{"id":"W6901569428","doi":"10.6068/dp15e008be83342","title":"Trend 1970 - 2012. Bureau of Labor Statistics. International Labor Statistics [Archive]: Civilian Labor Force, Employment, and Unemployment | Country: Canada | Seasonally Adjusted: Non-Seasonally Adjusted | Industry: Whole economy | Series: UNEMPLOYMENT, 1970-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 002-031-001.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Official statistics; Earnings; Unemployment; Current Population Survey; Population; Economic statistics; International comparisons; Wages and salaries; Discouraged worker","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":[0.002127198,0.001991696,0.002686796,0.005664155,0.00188586,0.003635016,0.004444128,0.001283601,0.08026628],"category_scores_gemma":[0.01692671,0.001493078,0.001473692,0.02452569,0.0004520859,0.002422471,0.001846652,0.003499566,0.07239544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01420107,"about_ca_system_score_gemma":0.03681411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9190472,"about_ca_topic_score_gemma":0.8932459,"domain_scores_codex":[0.9969848,0.0002701299,0.0003657218,0.0004823167,0.001248904,0.0006481427],"domain_scores_gemma":[0.9800397,0.0009845535,0.0008377244,0.0007847516,0.01642187,0.0009314651],"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":[0.00002130636,0.000007558173,0.0007075932,0.0001544682,0.00001169744,0.000003519878,0.00001636927,0.00006008024,0.000007491885,0.0001956275,0.9975454,0.00126882],"study_design_scores_gemma":[0.0002396998,0.00001898308,0.03483951,0.0008732446,0.00005579288,0.00002497548,0.0004394213,0.0003546168,0.0001530428,0.0006257974,0.9623091,0.00006577997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005142258,0.00003045621,0.00002854743,0.00006923935,0.00003059382,0.00002020067,0.9991295,0.00005819122,0.0005819245],"genre_scores_gemma":[0.0003738485,0.0001129438,0.0002076907,0.00007622282,0.00001943738,0.0001515745,0.9971022,0.00007972078,0.001876404],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08095276,"threshold_uncertainty_score":0.2685174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03131039021318766,"score_gpt":0.2880445937918238,"score_spread":0.2567342035786361,"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."}}