{"id":"W7097347761","doi":"","title":"MICRO PRICE DATA? (*)","year":2010,"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); Function (biology); Price setting; Hazard","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":[0.001308889,0.0004517444,0.0005815557,0.002243139,0.0004225552,0.001967785,0.0009908057,0.001739651,0.1968063],"category_scores_gemma":[0.01892269,0.0003343761,0.0003819269,0.006242934,0.000286596,0.002028069,0.001178152,0.001606703,0.1491458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007392672,"about_ca_system_score_gemma":0.001029684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008227346,"about_ca_topic_score_gemma":0.007855789,"domain_scores_codex":[0.9982594,0.0003212212,0.0002542116,0.0002594171,0.0007413089,0.0001645966],"domain_scores_gemma":[0.9911788,0.001870037,0.00164061,0.001856311,0.003150018,0.0003042901],"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":[0.00006007395,0.00001964803,0.003332776,0.0001472662,0.00001650867,0.00005245733,0.00006783513,0.0001323537,0.0001204793,0.01140512,0.9474064,0.03723905],"study_design_scores_gemma":[0.00002813158,0.00001496955,0.006519611,0.00008291467,0.000008690654,0.00007212599,0.0000846386,0.000503938,0.0006120696,0.004800656,0.9872502,0.00002200799],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0092223,0.002439699,0.01591663,0.06268387,0.01434198,0.0002862602,0.7097227,0.004541458,0.1808452],"genre_scores_gemma":[0.1482626,0.007139442,0.0207508,0.02517461,0.007799155,0.001532024,0.4633313,0.002073506,0.3239366],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1968063,"threshold_uncertainty_score":0.6583828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06518624213840589,"score_gpt":0.2436361202649453,"score_spread":0.1784498781265394,"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."}}