{"id":"W4381597208","doi":"10.1111/iwj.14274","title":"Generative artificial intelligence community of practice for research","year":2023,"lang":"en","type":"letter","venue":"International Wound Journal","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generative grammar; Field (mathematics); Directory; Space (punctuation); Data science; Phone; Computer science; Artificial intelligence; Knowledge management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1289674,0.001622648,0.002517496,0.008200213,0.01244485,0.04164316,0.006680132,0.03226397,0.02063449],"category_scores_gemma":[0.1592859,0.001145616,0.002335481,0.005566218,0.0784855,0.03817425,0.02980044,0.03616078,0.006865644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01931776,"about_ca_system_score_gemma":0.0392134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00221224,"about_ca_topic_score_gemma":0.002610784,"domain_scores_codex":[0.8316162,0.1218394,0.007402735,0.01073849,0.02429082,0.004112431],"domain_scores_gemma":[0.6797125,0.2376201,0.006402631,0.03544844,0.02220953,0.01860689],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002906438,0.0000549598,0.000144953,0.0009215903,0.00003201671,0.000156998,0.01065093,0.0002213624,0.0001062113,0.7443343,0.186785,0.05656274],"study_design_scores_gemma":[0.00001829617,0.00001303766,0.00005869736,0.001910904,0.00000742495,0.0001382109,0.002116191,0.0001921462,0.00004679833,0.3044295,0.6910452,0.00002373334],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005756012,0.07176857,0.026616,0.8007892,0.03272568,0.0001442329,0.00005141175,0.0006015496,0.06672787],"genre_scores_gemma":[0.1378496,0.09139314,0.1069335,0.5187163,0.07628497,0.002501487,0.0003958721,0.002261541,0.06366368],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8710325,"threshold_uncertainty_score":0.6820532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6791640449538076,"score_gpt":0.6078427987257211,"score_spread":0.07132124622808644,"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."}}