{"id":"W2016720559","doi":"10.1111/j.1467-8276.2007.01023.x","title":"Aggregation of Price Risk over Commodities: An Economic Index Number Approach","year":2007,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Superlative; Index (typography); Economics; Aggregate (composite); Price index; Econometrics; Price risk; Industrial production index; Production (economics); Microeconomics; Financial economics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001703316,0.0003583008,0.001209883,0.0002724755,0.0001186481,0.0001100967,0.0006989992,0.0001602599,0.0001434477],"category_scores_gemma":[0.0000548706,0.0003095079,0.0004702367,0.0002149947,0.0002817553,0.001531852,0.00008034361,0.0004584286,0.00006344651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005107123,"about_ca_system_score_gemma":0.00005885368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005494579,"about_ca_topic_score_gemma":0.0001625805,"domain_scores_codex":[0.9967348,0.00004757056,0.002274425,0.0004213831,0.00004890668,0.0004729308],"domain_scores_gemma":[0.9934082,0.0002053273,0.005563409,0.0003587373,0.0001370804,0.0003272559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001110673,0.001309695,0.7549266,0.00008970098,0.002226759,0.000007614431,0.005178618,0.02131278,0.0001687262,0.1855177,0.006377919,0.02177325],"study_design_scores_gemma":[0.001892178,0.00110115,0.9687323,0.0000360606,0.00007384603,0.0002836626,0.005981023,0.0006456801,0.0004252583,0.008855337,0.01100226,0.0009712615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673575,0.000306808,0.001085116,0.00009423873,0.0005734582,0.0001773002,0.0001895442,0.00001777393,0.03019825],"genre_scores_gemma":[0.9934084,0.00115132,0.004366584,0.0001316768,0.0007080428,0.00000316344,0.00004163284,0.00003145512,0.0001577372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2138057,"threshold_uncertainty_score":0.9999357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008801384251836098,"score_gpt":0.2037257454208621,"score_spread":0.194924361169026,"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."}}