{"id":"W4408395704","doi":"10.15353/whr.v11.6415","title":"Table of Contents","year":2025,"lang":"en","type":"article","venue":"Waterloo Historical Review","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Information retrieval; Computer science; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003538852,0.00008234241,0.0005886602,0.00008171718,0.0000469234,0.000007880913,0.0001965936,0.00003017449,0.002580198],"category_scores_gemma":[0.0001480525,0.00007826975,0.000128722,0.0002295977,0.00003050869,0.00006919978,0.0000722473,0.00004683219,0.003587943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002237289,"about_ca_system_score_gemma":0.000008217263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004285685,"about_ca_topic_score_gemma":0.000003310442,"domain_scores_codex":[0.9989545,0.000006485474,0.0006052086,0.0002561156,0.00001947757,0.0001581919],"domain_scores_gemma":[0.9994794,0.00001826634,0.0001854349,0.0002498273,0.00003158683,0.00003547708],"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":[0.000002847781,0.00005270062,0.001707536,0.0007746616,0.00004717153,6.912277e-7,0.00004466482,5.924371e-7,0.000004971419,0.09155069,0.9040567,0.001756728],"study_design_scores_gemma":[0.0001446068,0.00001034357,0.0001309397,0.0003028132,0.000013577,1.928289e-7,0.000006441916,0.00001109473,0.00001651628,0.002199858,0.9970896,0.00007403845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000306917,0.4479774,0.0001996064,0.001187843,0.003212688,0.0002127313,0.0000636956,0.00002000233,0.5468192],"genre_scores_gemma":[0.01525967,0.06067201,0.000196422,0.0009632201,0.00002275795,0.00002708218,0.000004619441,0.000006493082,0.9228477],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3873054,"threshold_uncertainty_score":0.9983316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05694534345913679,"score_gpt":0.2280274761625375,"score_spread":0.1710821327034007,"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."}}