{"id":"W4382680046","doi":"10.21141/pjp.2023.08","title":"Chatbots, Generative AI, and Scholarly Manuscripts","year":2023,"lang":"en","type":"article","venue":"Philippine Journal of Pathology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Public Health Ontario; University of Toronto","funders":"","keywords":"Publishing; Field (mathematics); Relation (database); Statement (logic); Generative grammar; Computer science; Engineering ethics; World Wide Web; Data science; Library science; Political science; Engineering; Artificial intelligence; Law","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":[0.0007462114,0.00008475096,0.000265745,0.0003335175,0.0000818293,0.00002544989,0.00005780704,0.00009753789,0.0001315279],"category_scores_gemma":[0.0006254995,0.00006805105,0.00005631716,0.0002606827,0.0000880506,0.0002735004,0.00002608271,0.0004037283,0.0000708431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000415731,"about_ca_system_score_gemma":0.0001568879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001297462,"about_ca_topic_score_gemma":0.00000931063,"domain_scores_codex":[0.998979,0.00008610404,0.0004570707,0.000121755,0.0001610205,0.0001950718],"domain_scores_gemma":[0.9990126,0.00006004142,0.0001716379,0.0001142979,0.0004795263,0.0001618255],"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":[0.0004722812,0.0003360692,0.1215965,0.0002127085,0.0001588372,0.004637117,0.01997773,0.00003849899,0.1925906,0.002238631,0.02631939,0.6314216],"study_design_scores_gemma":[0.001316076,0.008899888,0.7177629,0.0006669977,0.0004594595,0.03931236,0.009057332,0.001266962,0.08261906,0.05151248,0.0864775,0.0006489675],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9499553,0.001533356,0.0008218379,0.04638147,0.0009994867,0.0001054317,0.000002058147,0.00001896631,0.0001820988],"genre_scores_gemma":[0.9920539,0.00153531,0.0008247364,0.003452276,0.001363749,0.000004103598,0.0000065826,0.00001222123,0.0007471388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6307727,"threshold_uncertainty_score":0.2775041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2091029251119575,"score_gpt":0.4346926742286351,"score_spread":0.2255897491166775,"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."}}