{"id":"W2984238063","doi":"10.25159/2663-6573/6677","title":"Anaphora in Biblical Hebrew: A Generative Perspective","year":2019,"lang":"en","type":"article","venue":"Journal for Semitics","topic":"Biblical Studies and Interpretation","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Anaphora (linguistics); Linguistics; Perspective (graphical); Generative grammar; Variety (cybernetics); Hebrew; Biblical Hebrew; Computer science; Hebrew Bible; Philosophy; Artificial intelligence; Biblical studies; Resolution (logic)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001445618,0.0000865242,0.00015932,0.0002968395,0.0001825848,0.0002297908,0.00008117669,0.00003683826,0.001170663],"category_scores_gemma":[0.00007300554,0.0000644539,0.000111866,0.0001167308,0.00005727781,0.0002108866,0.00002013695,0.0002230352,0.00006864934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001263295,"about_ca_system_score_gemma":0.00002546544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006220346,"about_ca_topic_score_gemma":0.0004011179,"domain_scores_codex":[0.9993316,0.00002253861,0.0002106887,0.0001094079,0.0001302176,0.0001955678],"domain_scores_gemma":[0.9993758,0.0001001914,0.00006835907,0.00005347527,0.0003482137,0.00005400427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007288799,0.0001151802,0.0007243915,0.00001673791,0.00008221917,0.000004574452,0.02987853,0.00003468654,0.0001350635,0.7669991,0.200704,0.001232605],"study_design_scores_gemma":[0.0007275419,0.0005815924,0.0005049406,0.00004841514,0.00001666683,0.0000135193,0.02402131,0.003335392,0.00008028459,0.03150835,0.9389973,0.0001646333],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7545317,0.004346936,0.001065777,0.01006103,0.004003979,0.0007072576,0.0001006279,0.00004283915,0.2251398],"genre_scores_gemma":[0.9848419,0.0002440891,0.0003389136,0.006505668,0.001484542,0.00001649018,0.000004596933,0.00001996417,0.006543823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7382933,"threshold_uncertainty_score":0.9997424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03228694021063729,"score_gpt":0.3000691623379436,"score_spread":0.2677822221273063,"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."}}