{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006990564,0.0003684924,0.0007860297,0.0002981121,0.0002619716,0.0002054292,0.0004477069,0.0002828356,0.00210173],"category_scores_gemma":[0.00009077961,0.0003660122,0.0001546601,0.000117403,0.000253299,0.000112551,0.0002156114,0.0005172043,0.0007093663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002291317,"about_ca_system_score_gemma":0.00004059843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007534307,"about_ca_topic_score_gemma":0.005604184,"domain_scores_codex":[0.9976234,0.000006674596,0.001291827,0.0005004643,0.0001026705,0.0004748992],"domain_scores_gemma":[0.9981521,0.0001754008,0.0007221735,0.0008010319,0.00006405418,0.00008520066],"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":[0.00002239326,0.000007281923,0.001445014,0.00005227934,0.0001306721,0.00003850065,0.0000820607,0.0000294955,9.97347e-8,0.9912852,0.003341737,0.003565247],"study_design_scores_gemma":[0.0001140754,0.00003255241,0.001133261,0.00003543897,0.00001099874,0.00000470365,0.00003424241,0.0002886574,4.967822e-7,0.2528135,0.7451985,0.0003335131],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001705157,0.006474255,0.0153395,0.0001296591,0.001190867,0.0002447905,0.001190059,0.00003605899,0.9753777],"genre_scores_gemma":[0.00520448,0.003066723,0.00399163,0.0000774103,0.0003461324,0.00001733624,0.00007229646,0.0001274191,0.9870965],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7418568,"threshold_uncertainty_score":0.9998792,"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."}}