{"id":"W4387440953","doi":"10.1080/15265161.2023.2250318","title":"“Large Language Models” Do Much More than Just Language: Some Bioethical Implications of Multi-Modal AI","year":2023,"lang":"en","type":"letter","venue":"The American Journal of Bioethics","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; University of Guelph","funders":"","keywords":"Bioethics; Generative grammar; Psychology; Sociology; Epistemology; Linguistics; Political science; Philosophy; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01472711,0.0007425497,0.001376807,0.0006597931,0.007234606,0.005775376,0.003128946,0.05842206,0.00572683],"category_scores_gemma":[0.04784928,0.0008885387,0.001151313,0.000620947,0.015814,0.01291979,0.003306488,0.07787427,0.003679381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007197058,"about_ca_system_score_gemma":0.007486659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01765257,"about_ca_topic_score_gemma":0.03458518,"domain_scores_codex":[0.9927027,0.003527536,0.000532396,0.001053878,0.001533174,0.0006502791],"domain_scores_gemma":[0.9403439,0.05122399,0.001007132,0.001511186,0.003791208,0.00212259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001044424,0.00003714733,0.0005535389,0.00006254057,0.00002711535,0.001426527,0.001542107,0.0001851694,0.0002087317,0.1117327,0.8603505,0.02376953],"study_design_scores_gemma":[0.000128279,0.00005653134,0.0006250999,0.000379154,0.00002430678,0.001652529,0.002023287,0.001482618,0.000344402,0.3837105,0.6094534,0.0001199394],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001732656,0.0005348011,0.0002788769,0.996223,0.001536554,0.000001989653,0.000009004857,0.00000805689,0.001234465],"genre_scores_gemma":[0.005020726,0.0003794372,0.0004811958,0.9865747,0.00551965,0.00002140767,0.000006992722,0.00001724585,0.001978649],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05842206,"threshold_uncertainty_score":0.07788539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2413547199668199,"score_gpt":0.4967837608452393,"score_spread":0.2554290408784194,"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."}}