{"id":"W4400870353","doi":"10.2196/56353","title":"Investigating Data Diversity and Model Robustness of AI Applications in Palliative Care and Hospice: Protocol for Scoping Review","year":2024,"lang":"en","type":"review","venue":"JMIR Research Protocols","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Robustness (evolution); Protocol (science); Data science; Computer science; Palliative care; Medicine; Nursing; World Wide Web; Alternative medicine; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1410403,0.006457533,0.01461809,0.02135132,0.005466782,0.01111543,0.006059159,0.009575878,0.0419602],"category_scores_gemma":[0.2095846,0.005565495,0.01923758,0.01991758,0.007371782,0.009032107,0.008136972,0.007243845,0.007615276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.021111,"about_ca_system_score_gemma":0.07758776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008219825,"about_ca_topic_score_gemma":0.01681357,"domain_scores_codex":[0.9094463,0.03317481,0.03842196,0.006340332,0.009277399,0.003339296],"domain_scores_gemma":[0.8520795,0.06257758,0.02529449,0.01430173,0.04312872,0.002618044],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003727321,0.0002300918,0.001188009,0.9026832,0.003459368,0.00106724,0.004184806,0.001584036,0.001568751,0.006810697,0.02882303,0.04467339],"study_design_scores_gemma":[0.008752825,0.001051007,0.003724981,0.7582456,0.009162404,0.0006574956,0.003692288,0.001328041,0.002786749,0.01212299,0.1980722,0.0004034488],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0003770981,0.002378718,0.001860393,0.0004246894,0.0002706988,0.9900322,0.003747001,0.00008284753,0.0008264178],"genre_scores_gemma":[0.0005880924,0.001082111,0.003694146,0.0001780376,0.0000199183,0.9936837,0.0005089709,0.00001343662,0.0002316369],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.8589597,"threshold_uncertainty_score":0.7459012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8967670138823096,"score_gpt":0.7504789886137858,"score_spread":0.1462880252685238,"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."}}