{"id":"W7097154117","doi":"","title":"CONSUMER PRICE MICRO DATA (*)","year":2004,"lang":"en","type":"article","venue":"","topic":"Economic Policies and Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Inflation (cosmology); Key (lock); Monetary policy; Work (physics)","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":[0.0007847829,0.0006636698,0.0006993351,0.004288306,0.0005030653,0.001699854,0.001206757,0.001202303,0.08187345],"category_scores_gemma":[0.006896826,0.0004703935,0.0006416818,0.0111963,0.0002230926,0.0008422089,0.0007554405,0.001804817,0.07630516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001192371,"about_ca_system_score_gemma":0.00142642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0572603,"about_ca_topic_score_gemma":0.06063961,"domain_scores_codex":[0.9984564,0.0001354069,0.0001742995,0.0002427064,0.0008334537,0.0001578929],"domain_scores_gemma":[0.9932761,0.000905779,0.001109085,0.0009163678,0.003475144,0.000317436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001675384,0.0001010785,0.01369121,0.0002703676,0.00004977515,0.00008261425,0.0001147182,0.0004107716,0.0001674841,0.003076528,0.9654074,0.0164605],"study_design_scores_gemma":[0.0001957835,0.00006529022,0.14354,0.000113954,0.00004520736,0.0001630626,0.0002753247,0.001067576,0.0009696213,0.001924856,0.8515695,0.0000699091],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003762161,0.00008146787,0.0004424301,0.0003888109,0.00009476639,0.0001303694,0.9835435,0.0002545785,0.01130198],"genre_scores_gemma":[0.01479026,0.0002165451,0.001492683,0.0002888382,0.0001213455,0.0006068883,0.962755,0.0001061429,0.01962231],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08187345,"threshold_uncertainty_score":0.273894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0982774020730509,"score_gpt":0.2532386556707346,"score_spread":0.1549612535976836,"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."}}