{"id":"W7098294364","doi":"","title":"Costs and Response Burden Reductions at Statistics Canada Prepared by","year":2003,"lang":"en","type":"article","venue":"","topic":"Phytochemistry and Bioactive Compounds","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Parliament; Summary statistics; Official statistics; Order (exchange); Work (physics); Government (linguistics); Statistical analysis","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":[0.02775336,0.001049662,0.000986455,0.008942484,0.004087718,0.004062373,0.003016887,0.002590984,0.04990729],"category_scores_gemma":[0.1028959,0.0006919733,0.001371447,0.008461119,0.0009164478,0.001293151,0.002607123,0.003290475,0.01372089],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05587143,"about_ca_system_score_gemma":0.1973536,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8820065,"about_ca_topic_score_gemma":0.7794772,"domain_scores_codex":[0.9374652,0.01552772,0.003284222,0.00169412,0.03304711,0.008981727],"domain_scores_gemma":[0.8441986,0.02399372,0.006342213,0.003690088,0.1075444,0.01423105],"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":[0.0001397376,0.00005956495,0.00448617,0.000130789,0.00002107575,0.00003257727,0.0001966367,0.0003854514,0.0001439768,0.001866477,0.9411187,0.05141883],"study_design_scores_gemma":[0.0003414161,0.0003169834,0.1722013,0.0008776454,0.0001159678,0.00008447591,0.002055117,0.004111687,0.0008327381,0.001496845,0.817405,0.0001608287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.04023915,0.005188323,0.009704783,0.382138,0.01100231,0.01536464,0.1921724,0.005882098,0.3383083],"genre_scores_gemma":[0.2652221,0.01052941,0.04185614,0.1329565,0.00843084,0.03062472,0.1276433,0.002313094,0.3804239],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9441286,"threshold_uncertainty_score":0.4053774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00760367271376162,"score_gpt":0.2294032598426954,"score_spread":0.2217995871289337,"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."}}