{"id":"W4400192764","doi":"10.5210/fm.v29i7.13375","title":"Laughing to keep from [use input undefined]: ChatGPT, Jewish humor, and cultural erasure","year":2024,"lang":"en","type":"article","venue":"First Monday","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Judaism; Erasure; Aesthetics; Internet privacy; Sociology; Advertising; Computer science; Business; Art; History; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001304852,0.0001428114,0.0001912985,0.00008250878,0.0001569244,0.000184177,0.00007708477,0.0001171325,0.0002507577],"category_scores_gemma":[0.0004110672,0.0001172208,0.00005078365,0.0002623257,0.00003556308,0.0002482351,0.00005734842,0.0002656289,0.0004157883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001095512,"about_ca_system_score_gemma":0.0000871501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002379056,"about_ca_topic_score_gemma":0.0003111444,"domain_scores_codex":[0.9989195,0.00002102007,0.0002670791,0.0003529389,0.0001864157,0.0002530377],"domain_scores_gemma":[0.9991357,0.0002166492,0.00002395742,0.0002894822,0.00009737977,0.0002368783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002079668,0.0001895496,0.09591918,0.0007232733,0.0001991438,0.0002613359,0.4452816,0.00006964391,0.005811373,0.0009808664,0.1688331,0.281523],"study_design_scores_gemma":[0.00008358886,0.0003222914,0.03552644,0.001342836,0.0001213523,0.00005549014,0.003582618,0.002021395,0.008316653,0.004018484,0.9442227,0.0003861618],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726216,0.003481071,0.000176366,0.02177715,0.001257878,0.0002688348,0.00003302715,0.0001580249,0.0002260411],"genre_scores_gemma":[0.9936185,0.0002969466,0.001032051,0.001756159,0.001008497,0.00003268593,0.00009756223,0.00002674374,0.002130858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7753896,"threshold_uncertainty_score":0.5344256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1283250820236952,"score_gpt":0.3877778984987854,"score_spread":0.2594528164750901,"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."}}