{"id":"W4376629160","doi":"10.4337/9781781954164.00017","title":"Index","year":2014,"lang":"en","type":"paratext","venue":"Edward Elgar Publishing eBooks","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Computer science; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002057242,0.000644632,0.0014408,0.000849325,0.0002821217,0.004106523,0.001485305,0.001368371,0.005795309],"category_scores_gemma":[0.0004960003,0.0008243569,0.0004656241,0.0001286304,0.0001319958,0.0008613351,0.0004336091,0.001564586,0.04215263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004325102,"about_ca_system_score_gemma":0.000179222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009033502,"about_ca_topic_score_gemma":0.0001274511,"domain_scores_codex":[0.9962132,0.00005533481,0.00141963,0.001236925,0.00009549754,0.0009794211],"domain_scores_gemma":[0.9969234,0.0001482138,0.00127844,0.001249386,0.00008370888,0.0003168173],"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":[0.00001740153,0.00002230144,0.00055559,0.000142923,0.0001265554,0.000003284496,0.0002648988,0.00006437506,5.428928e-7,0.0188909,0.9666281,0.01328312],"study_design_scores_gemma":[0.0004804153,0.00003330959,0.0001259563,0.00008697694,0.00001041862,0.00000667323,0.00001679904,0.0007129511,0.000007882464,0.01270827,0.9848689,0.0009414959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006668151,0.0007299949,0.003863663,0.0006058233,0.01534531,0.0002965294,0.0003010393,0.0001674041,0.9780234],"genre_scores_gemma":[0.1199671,0.0003146748,0.0007124235,0.002512571,0.00776147,0.00009780155,0.0007729136,0.0004472983,0.8674138],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1193003,"threshold_uncertainty_score":0.9999281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02596524154487329,"score_gpt":0.2124357027029476,"score_spread":0.1864704611580743,"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."}}