{"id":"W4296333182","doi":"10.2196/37884","title":"Classifying Comments on Social Media Related to Living Kidney Donation: Machine Learning Training and Validation Study","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Louisville; National Science Foundation","keywords":"Donation; Viewpoints; Credibility; Artificial intelligence; Computer science; Kidney donation; Medical education; Medicine; Data science; Transplantation; Kidney transplantation; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000946784,0.0001193847,0.000210394,0.000263948,0.0004977084,0.00003673738,0.00007853917,0.0000730337,0.001150692],"category_scores_gemma":[0.0006269666,0.0001145978,0.00003079536,0.0003688068,0.00002826943,0.0001485445,0.00007500745,0.0007179574,0.00002380975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000118124,"about_ca_system_score_gemma":0.00009965216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002647335,"about_ca_topic_score_gemma":0.000002539835,"domain_scores_codex":[0.9977688,0.000142794,0.0005388158,0.0001034893,0.001276545,0.0001695772],"domain_scores_gemma":[0.9991219,0.0003125785,0.0001436486,0.00006886958,0.00004889233,0.000304134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002203507,0.001042038,0.06214032,0.0002969215,0.0001953806,0.00005765968,0.7911034,0.0001439711,0.00006258808,0.001093393,0.002196025,0.1414479],"study_design_scores_gemma":[0.02217358,0.003801748,0.4738539,0.0009589482,0.000442152,0.0004688576,0.3107377,0.1440852,0.0001413288,0.0001699549,0.0420799,0.001086714],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916273,0.000004726292,0.00023416,0.004779925,0.0002394959,0.000597234,0.00001443003,0.0001431546,0.002359532],"genre_scores_gemma":[0.9952152,0.000007493025,0.000221067,0.003930834,0.0000648798,0.0000750191,0.000357252,0.00001649146,0.0001117851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4803657,"threshold_uncertainty_score":0.9997624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04726162799102631,"score_gpt":0.3337602659942219,"score_spread":0.2864986380031956,"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."}}