{"id":"W4401849572","doi":"10.1177/14034948241265948","title":"Reflections on co-creating a model for the value assessment of artificial intelligence technologies","year":2024,"lang":"en","type":"article","venue":"Scandinavian Journal of Public Health","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network","funders":"","keywords":"Multidisciplinary approach; Relevance (law); Value (mathematics); Knowledge management; Process (computing); Medicine; Psychology; Process management; Computer science; Engineering; Sociology; Political science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.1610153,0.002291611,0.001182928,0.002234569,0.01837215,0.02552322,0.006051413,0.01683054,0.0043583],"category_scores_gemma":[0.1903983,0.001705245,0.002594427,0.001373474,0.05429786,0.02658961,0.03301226,0.04882402,0.001597858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01445009,"about_ca_system_score_gemma":0.02219164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003264446,"about_ca_topic_score_gemma":0.002414848,"domain_scores_codex":[0.622374,0.3431506,0.006165043,0.004695891,0.01559151,0.008022965],"domain_scores_gemma":[0.7151416,0.2215669,0.009318748,0.01312671,0.02467193,0.01617407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001815466,0.0004181034,0.00170561,0.0005987692,0.00006421391,0.003106299,0.8412786,0.001563566,0.00174657,0.09884655,0.02058576,0.02990436],"study_design_scores_gemma":[0.0001179348,0.0004061325,0.0005735974,0.002089283,0.00006013763,0.004930444,0.7121744,0.004313909,0.002957278,0.06036032,0.2117519,0.0002645806],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1513483,0.004768812,0.1644228,0.6222778,0.004824195,0.001892833,0.0001531281,0.0003911711,0.04992108],"genre_scores_gemma":[0.8858222,0.003021967,0.06739581,0.03383756,0.0008953562,0.001323378,0.00008524775,0.0003822748,0.007236118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9816278,"threshold_uncertainty_score":0.8515407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5984003423878254,"score_gpt":0.5985003520774692,"score_spread":0.000100009689643854,"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."}}