{"id":"W4381623887","doi":"10.1017/9781009273497.012","title":"Bibliography","year":2022,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Bibliography; Content (measure theory); Library science; World Wide Web; Information retrieval; Mathematics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004964957,0.001225294,0.001040951,0.01043069,0.001455672,0.004329,0.001491445,0.0008440088,0.4273556],"category_scores_gemma":[0.003368072,0.0003934458,0.0006086587,0.01356194,0.0004686826,0.002810733,0.001391533,0.001543448,0.3417135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002172331,"about_ca_system_score_gemma":0.002134123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00805358,"about_ca_topic_score_gemma":0.008969473,"domain_scores_codex":[0.9992694,0.00006500373,0.00007980816,0.0001512677,0.0003774182,0.00005715278],"domain_scores_gemma":[0.9977394,0.0002943241,0.0001535387,0.0001852895,0.001446504,0.000180821],"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":[0.00001297131,0.00001012736,0.00005536288,0.0005500226,0.000003350675,0.0000363929,0.00004788728,0.0001482084,0.0001007596,0.002964433,0.9221057,0.07396471],"study_design_scores_gemma":[0.000001400775,0.000004362442,0.000134018,0.0003774979,0.000002538002,0.00003201897,0.00002236681,0.00001200532,0.00002939308,0.001051152,0.9983298,0.000003417631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000815766,0.1204214,0.003563816,0.009003357,0.02143504,0.0003063946,0.03647173,0.002210974,0.8057715],"genre_scores_gemma":[0.004238871,0.07907671,0.003230129,0.002447804,0.00747482,0.0002602811,0.04236691,0.0008066461,0.8600977],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5726444,"threshold_uncertainty_score":0.8168077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03888734349052864,"score_gpt":0.1755168923894457,"score_spread":0.1366295488989171,"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."}}