{"id":"W4387236500","doi":"10.54079/jpmi.37.3.3284","title":"CHATBOTS, GENERATIVE AI, AND SCHOLARLY MANUSCRIPTS WAME RECOMMENDATIONS ON CHATBOTS AND GENERATIVE ARTIFICIAL INTELLIGENCE IN RELATION TO SCHOLARLY PUBLICATIONS","year":2023,"lang":"en","type":"article","venue":"Journal of Postgraduate Medical Institute","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Public Health Ontario; University of Toronto","funders":"","keywords":"Chatbot; Generative grammar; Artificial intelligence; Relation (database); Computer science; Applications of artificial intelligence; Field (mathematics); World Wide Web; Data science","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":[0.002157009,0.0002025426,0.0003879051,0.001281448,0.0003323215,0.0003750627,0.0001618799,0.0002380588,0.00005635466],"category_scores_gemma":[0.005993014,0.0001732393,0.00006281244,0.001359255,0.000209113,0.002366029,0.00007133337,0.001315397,0.00009968741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002552706,"about_ca_system_score_gemma":0.000767295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001800406,"about_ca_topic_score_gemma":0.0005203566,"domain_scores_codex":[0.9972035,0.0002021302,0.001104352,0.0003534834,0.0007937538,0.0003428092],"domain_scores_gemma":[0.9975475,0.0002235831,0.0002825266,0.0002081473,0.0009668666,0.0007713742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000415417,0.0005585323,0.01176942,0.00006934765,0.0001222462,0.0002219125,0.01451133,0.0002367508,0.004179035,0.05593009,0.01035909,0.9016268],"study_design_scores_gemma":[0.001704203,0.01159826,0.5443713,0.008492327,0.0005522757,0.002792255,0.01921975,0.05457754,0.04412996,0.1653619,0.1448546,0.002345633],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5949575,0.0002112181,0.0108022,0.3923624,0.001103033,0.0004047925,0.00000901602,0.00002859933,0.0001213285],"genre_scores_gemma":[0.9812197,0.002440644,0.005166156,0.009503806,0.001080239,0.00005118603,0.00008492796,0.00002525055,0.0004281114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8992812,"threshold_uncertainty_score":0.717463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2814672672646804,"score_gpt":0.4483073904345566,"score_spread":0.1668401231698762,"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."}}