{"id":"W3033676767","doi":"10.14745/ccdr.v46i06a03","title":"A call for an ethical framework when using social media data for artificial intelligence applications in public health research","year":2020,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Public Health Agency of Canada; Université Laval","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Social media; Public health; Psychology; Data science; Computer science; Artificial intelligence; Engineering ethics; Political science; Sociology; Engineering; Medicine; World Wide Web; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003742371,0.0001970908,0.000614403,0.000105581,0.0006598186,0.00009463502,0.001429329,0.0001767143,0.00003322709],"category_scores_gemma":[0.02025411,0.000213452,0.00007812382,0.0007746729,0.0003165236,0.0001740045,0.0007590087,0.001187927,0.000001025552],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007709531,"about_ca_system_score_gemma":0.02440277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05852,"about_ca_topic_score_gemma":0.4225351,"domain_scores_codex":[0.9959218,0.0005624812,0.0009529723,0.0008001536,0.0009329811,0.0008296187],"domain_scores_gemma":[0.9910398,0.002230445,0.0002625694,0.00338059,0.0009595944,0.002126969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007625693,0.006307273,0.05586383,0.009114197,0.001030733,0.002505243,0.01087417,0.0005545873,0.0002689391,0.1314438,0.6255142,0.1488974],"study_design_scores_gemma":[0.0007428411,0.0001824083,0.01027064,0.0003350395,0.000155401,0.00003133124,0.005229332,0.1341857,0.00001123154,0.02283308,0.8252861,0.0007368614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04577285,0.004815051,0.4191028,0.4715837,0.0005062745,0.01749859,0.03974802,0.0005164235,0.0004563725],"genre_scores_gemma":[0.9470057,0.00004447885,0.02260727,0.005624251,0.0005683281,0.0006925449,0.02337339,0.00007573445,0.000008275462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9012329,"threshold_uncertainty_score":0.9879987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6267573233698036,"score_gpt":0.5049783098163965,"score_spread":0.1217790135534071,"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."}}