{"id":"W4385539581","doi":"10.1017/9781009320924.002","title":"Abbreviations","year":2023,"lang":"en","type":"other","venue":"","topic":"Reformation and Early Modern Christianity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Information retrieval; Database; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001405834,0.001308069,0.0009293185,0.007039765,0.001021008,0.003144626,0.00164596,0.0008424107,0.4909234],"category_scores_gemma":[0.01190802,0.0002817159,0.0006678369,0.007627062,0.0005727635,0.002131355,0.001013377,0.001443932,0.3442072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002529884,"about_ca_system_score_gemma":0.003378486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009437485,"about_ca_topic_score_gemma":0.005409632,"domain_scores_codex":[0.9986315,0.0002351124,0.000292522,0.0002939984,0.0004205718,0.0001262704],"domain_scores_gemma":[0.9936923,0.001038308,0.0006762875,0.0004230978,0.003694561,0.0004755351],"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":[0.00004032555,0.000006075575,0.0001826842,0.0007620151,0.00000387265,0.00004417898,0.00003381404,0.00009480713,0.000102803,0.003247066,0.960427,0.0350553],"study_design_scores_gemma":[0.000005550581,0.000009400902,0.000452478,0.0003306271,0.000003101002,0.00003292192,0.00004298855,0.0000135719,0.00005684418,0.001372823,0.9976751,0.000004507132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001149494,0.02489995,0.006926387,0.01278298,0.02452336,0.001454114,0.4646477,0.002859798,0.4607563],"genre_scores_gemma":[0.01196652,0.03822809,0.01019465,0.005710737,0.01038596,0.002301171,0.3424319,0.001955495,0.5768254],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5090766,"threshold_uncertainty_score":0.726136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04617017324165779,"score_gpt":0.2392840107069336,"score_spread":0.1931138374652759,"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."}}