{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005326517,0.0001891019,0.0003696837,0.0008202004,0.0006130862,0.000175904,0.0005407956,0.0005541758,0.0002948096],"category_scores_gemma":[0.0111347,0.0001739571,0.000247784,0.0003725887,0.0003015969,0.0002261775,0.0000891344,0.006774897,0.0001878835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007271225,"about_ca_system_score_gemma":0.001432534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000872825,"about_ca_topic_score_gemma":0.0000786887,"domain_scores_codex":[0.9959418,0.0007654505,0.001212736,0.0002335591,0.001408035,0.0004384842],"domain_scores_gemma":[0.9849098,0.006536702,0.0006265451,0.0003323086,0.007474274,0.0001203859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000469345,0.0003282679,0.00003686832,0.0001777493,0.0004660744,0.0001428992,0.003636608,0.00004275172,0.0002265094,0.001809089,0.9484096,0.04425423],"study_design_scores_gemma":[0.00003646457,0.001181063,0.00002637084,0.000609874,0.0001315758,0.0008063946,0.009749125,0.0005661919,0.00526529,0.1541879,0.8272571,0.0001826828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002764492,0.0001412243,0.01225082,0.9742287,0.007159879,0.0006960975,0.00009719867,0.00002633958,0.00263528],"genre_scores_gemma":[0.09214285,0.003342655,0.0319871,0.6732686,0.1694598,0.0005894235,0.00280119,0.00040959,0.02599879],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3009601,"threshold_uncertainty_score":0.9971949,"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."}}