{"id":"W4367365504","doi":"10.48550/arxiv.2304.13765","title":"Towards ethical multimodal systems","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Oak Ridge National Laboratory; Office of Science; Compute Canada; Canadian Institute for Advanced Research; Canada Excellence Research Chairs, Government of Canada; U.S. Department of Energy","keywords":"Generative grammar; Computer science; Classifier (UML); Field (mathematics); Human health; Artificial intelligence; Data science; Mathematics; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01603198,0.0008293501,0.0006759785,0.002886405,0.001913145,0.008236343,0.001631066,0.003831404,0.007850438],"category_scores_gemma":[0.06618722,0.0006205033,0.0008292252,0.001353422,0.006523222,0.01027619,0.006955475,0.004515017,0.002271462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003475888,"about_ca_system_score_gemma":0.002733964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002054408,"about_ca_topic_score_gemma":0.00205137,"domain_scores_codex":[0.9791608,0.01442196,0.0008280465,0.001864092,0.003124283,0.000600799],"domain_scores_gemma":[0.9736459,0.01525612,0.002086735,0.003075332,0.004874265,0.001061649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001343081,0.0002121959,0.006188378,0.0004817708,0.00007488034,0.0002297597,0.004457558,0.03179189,0.00421214,0.7133471,0.01706048,0.2218096],"study_design_scores_gemma":[0.00001698284,0.00004851345,0.0008451735,0.0001584382,0.00001506904,0.0001530004,0.001539901,0.1713756,0.003050995,0.788174,0.03459121,0.00003110065],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03824005,0.001354335,0.9008697,0.02378653,0.0002486882,0.0003033837,0.0004236434,0.001414133,0.03335949],"genre_scores_gemma":[0.4739316,0.0008444774,0.512692,0.002748039,0.0002622883,0.0004211613,0.0009579373,0.0004668337,0.00767557],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01603198,"threshold_uncertainty_score":0.08478624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4498895190099213,"score_gpt":0.3456553548528104,"score_spread":0.1042341641571109,"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."}}