{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03559705,0.0009989605,0.0009159031,0.004836224,0.007032317,0.01686453,0.004842003,0.01610452,0.03881954],"category_scores_gemma":[0.1506333,0.001154822,0.001721836,0.00291272,0.01205946,0.02305875,0.00808581,0.01776099,0.02388646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006465793,"about_ca_system_score_gemma":0.01141713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008150202,"about_ca_topic_score_gemma":0.01852185,"domain_scores_codex":[0.9513685,0.0229147,0.004379557,0.002849669,0.01652389,0.001963741],"domain_scores_gemma":[0.7086259,0.1802464,0.01370502,0.01398352,0.06808843,0.01535073],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005279603,0.00004767063,0.0002227808,0.0009784332,0.00001063102,0.0001045735,0.002181298,0.0002014558,0.0004089534,0.05021603,0.8813503,0.06422517],"study_design_scores_gemma":[0.000009608617,0.00002177081,0.0002168275,0.001212727,0.00000650585,0.00006363508,0.0005553546,0.0000983819,0.0001565991,0.007116456,0.9905071,0.0000350078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.0008889802,0.02201759,0.0156684,0.8712415,0.04597223,0.0001388024,0.0002856156,0.001087727,0.04269913],"genre_scores_gemma":[0.04254526,0.06570701,0.05537089,0.5647322,0.07044331,0.001277933,0.001108368,0.002293693,0.1965214],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.964403,"threshold_uncertainty_score":0.1882575,"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."}}