{"id":"W2479314356","doi":"10.1007/978-0-387-22465-7_3","title":"The Nondurable Goods Index","year":2007,"lang":"en","type":"book-chapter","venue":"Springer series in statistics","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Index (typography); Inflation (cosmology); Stock (firearms); Stock market; Space (punctuation); Stock market index; Actuarial science; Economics; Operations research; Computer science; Business; Geography; Engineering; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004217996,0.0005760086,0.0005598475,0.002614302,0.000579483,0.003410422,0.0004824887,0.0007900742,0.03710945],"category_scores_gemma":[0.002746798,0.0001549222,0.000192665,0.004019188,0.001132661,0.003751156,0.000962477,0.001430187,0.01342297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009666304,"about_ca_system_score_gemma":0.0005608401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007191295,"about_ca_topic_score_gemma":0.0007378792,"domain_scores_codex":[0.9996081,0.00007997366,0.00002359618,0.00009151423,0.0001649485,0.00003190274],"domain_scores_gemma":[0.9994796,0.0001535631,0.0000712681,0.0001415948,0.00009910623,0.00005491884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001536972,0.00001062453,0.0003661645,0.00004578611,0.000004775482,0.00002031789,0.00005551352,0.0002616385,0.0002012772,0.8905334,0.04151439,0.0669709],"study_design_scores_gemma":[0.000002893758,0.00001089281,0.00132668,0.00005599271,0.000004543632,0.0001221181,0.00005476772,0.0004705839,0.0001861507,0.6040236,0.3937334,0.000008471591],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01081271,0.01485937,0.01929402,0.004478113,0.001554461,0.00003288269,0.002043549,0.0002132227,0.9467116],"genre_scores_gemma":[0.3598979,0.0222786,0.01549411,0.001242893,0.003786784,0.0001719453,0.003151491,0.0002682932,0.5937082],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03710945,"threshold_uncertainty_score":0.1241435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04510170528573964,"score_gpt":0.2434661566890003,"score_spread":0.1983644514032606,"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."}}