{"id":"W4247003821","doi":"10.1002/9781405166430.index","title":"Index","year":2017,"lang":"en","type":"paratext","venue":"","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Index (typography); Library science; Geography; History; Art; Computer science; 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":["insufficient_payload"],"category_scores_codex":[0.000215082,0.0002732076,0.0009704026,0.0003152775,0.0002048743,0.0003368591,0.0007610785,0.0004035559,0.05355264],"category_scores_gemma":[0.0000294037,0.0003009088,0.0004764494,0.0000467101,0.00007944426,0.0001415654,0.0001408328,0.0002704879,0.2124468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009864791,"about_ca_system_score_gemma":0.00004507333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006074643,"about_ca_topic_score_gemma":0.0003444863,"domain_scores_codex":[0.9983652,0.000004254478,0.0006882936,0.0006359634,0.00002414734,0.0002820982],"domain_scores_gemma":[0.9979084,0.00001819853,0.001007051,0.0009278425,0.00002842798,0.0001100531],"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":[0.000003582728,0.00002202351,0.0007892937,0.00001975895,0.0002253108,0.000002021397,0.000008934647,0.00008572762,1.226752e-7,0.1645326,0.8337003,0.0006103969],"study_design_scores_gemma":[0.0001532424,0.00001323915,0.0008229233,0.00001144243,0.000006131496,0.000001195555,0.000002132793,0.001620067,0.000001108042,0.0236031,0.9733667,0.0003987421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000167418,0.00377139,0.003161632,0.002015202,0.002391599,0.0001021579,0.0004803257,0.00001165228,0.9878986],"genre_scores_gemma":[0.0700055,0.003842209,0.00008507501,0.0004958379,0.0008605174,0.00002367143,0.000282373,0.0000469104,0.9243579],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1588942,"threshold_uncertainty_score":0.9999443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04567882948610524,"score_gpt":0.2375539378526617,"score_spread":0.1918751083665564,"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."}}