{"id":"W2193621081","doi":"","title":"The implications of an evolving Labour Force Survey on key economic variables","year":2015,"lang":"en","type":"article","venue":"uO Research (University of Ottawa)","topic":"activated carbon and charcoal","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Econometrics; Non-response bias; Statistics; Economics; Sampling (signal processing); Response bias; Demographic economics; Mathematics; Computer science","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":[0.0998399,0.0005450301,0.0007118661,0.002554125,0.002101311,0.003449522,0.002365273,0.002895904,0.006464338],"category_scores_gemma":[0.3001025,0.0004396786,0.001028305,0.005776778,0.002156399,0.004720844,0.00218906,0.003957561,0.0009616321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006973081,"about_ca_system_score_gemma":0.006521238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1134152,"about_ca_topic_score_gemma":0.1188524,"domain_scores_codex":[0.9100647,0.06720594,0.004203252,0.004437378,0.01184318,0.002245473],"domain_scores_gemma":[0.7109241,0.2079655,0.03012051,0.00979769,0.03664058,0.004551539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001234104,0.0003960639,0.6573306,0.0008674823,0.0003692637,0.001312498,0.006486586,0.005548602,0.0006299796,0.03941842,0.07768712,0.2087194],"study_design_scores_gemma":[0.00007296108,0.0005427178,0.8435464,0.001624498,0.0001653394,0.0008335822,0.01587217,0.01364144,0.000903973,0.03649658,0.08607141,0.0002289906],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4284184,0.007885865,0.02454908,0.4879012,0.005059989,0.0009099728,0.01405289,0.0001237408,0.03109886],"genre_scores_gemma":[0.9266524,0.004395064,0.02155249,0.03562294,0.001529069,0.0007149399,0.00305001,0.0001032509,0.006379937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1134152,"threshold_uncertainty_score":0.5280102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2330962127070318,"score_gpt":0.4054547029773213,"score_spread":0.1723584902702895,"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."}}