{"id":"W4323875431","doi":"10.1017/9781846158148.018","title":"Bibliography","year":2010,"lang":"en","type":"other","venue":"","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bibliography; Information retrieval; Computer science; Content (measure theory); Library science; Database; 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":[0.0006494023,0.001241078,0.001048081,0.01290511,0.001372332,0.004017583,0.001389037,0.0007226604,0.4228706],"category_scores_gemma":[0.005765148,0.0003434848,0.0006593617,0.01841911,0.0004263113,0.002644976,0.001246576,0.001342924,0.3587717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002480461,"about_ca_system_score_gemma":0.002983965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01377063,"about_ca_topic_score_gemma":0.01295993,"domain_scores_codex":[0.9990295,0.00009238682,0.000132887,0.0002019489,0.0004673418,0.00007598416],"domain_scores_gemma":[0.9955812,0.0005529421,0.0003154435,0.0003290467,0.002926152,0.0002951945],"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":[0.00001325471,0.000006956197,0.00007042113,0.000503249,0.000003268797,0.00002193118,0.00002763826,0.0001278109,0.00005463725,0.001435703,0.949106,0.04862914],"study_design_scores_gemma":[0.000001837639,0.000004126985,0.0002747305,0.0005053218,0.000003633511,0.00002327114,0.00002481314,0.00001386717,0.00002981128,0.0008018872,0.9983128,0.000003953139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008291152,0.09097306,0.003886991,0.01021382,0.02562744,0.0004013187,0.1045976,0.0026916,0.7607791],"genre_scores_gemma":[0.005672231,0.103599,0.003773764,0.003385333,0.01225005,0.0004673087,0.114995,0.001220008,0.7546373],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5771294,"threshold_uncertainty_score":0.823205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02525556220702495,"score_gpt":0.2024433226493096,"score_spread":0.1771877604422846,"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."}}