{"id":"W2066775002","doi":"10.1080/15265161003743497","title":"Tweeting Science and Ethics: Social Media as a Tool for Constructive Public Engagement","year":2010,"lang":"en","type":"letter","venue":"The American Journal of Bioethics","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"British Columbia Knowledge Development Fund","keywords":"Constructive; Bioethics; Public engagement; Social media; Sociology; Media ethics; Engineering ethics; Public relations; Political science; Media studies; Social science; Journalism; Law; Computer science","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006825794,0.0008548227,0.0007045648,0.0009366986,0.005645548,0.008152642,0.001427567,0.05981644,0.01519859],"category_scores_gemma":[0.03354325,0.0005955459,0.0007788512,0.0006309646,0.004947342,0.008095253,0.002387264,0.03192173,0.01248062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004619161,"about_ca_system_score_gemma":0.004006678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007268373,"about_ca_topic_score_gemma":0.01659333,"domain_scores_codex":[0.994437,0.003129885,0.000320302,0.0003397017,0.001407019,0.0003661304],"domain_scores_gemma":[0.9797217,0.01625833,0.0008051341,0.0004100613,0.001505367,0.001299454],"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":[0.00005294866,0.00003068534,0.0003343721,0.00004560192,0.000007428982,0.000576341,0.0004532294,0.00004158906,0.0002460768,0.005460188,0.9779208,0.01483062],"study_design_scores_gemma":[0.0001180815,0.000065379,0.001034422,0.0003549923,0.00001752625,0.000923272,0.001570339,0.0009251807,0.0004109025,0.01690698,0.9776067,0.000066363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003764792,0.0008971026,0.000201749,0.9835604,0.004965806,0.00001533196,0.00005116775,0.00004425759,0.009887758],"genre_scores_gemma":[0.007598282,0.001348584,0.0007888215,0.9433773,0.01249951,0.0001071554,0.00002970909,0.00003578423,0.03421487],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9918473,"threshold_uncertainty_score":0.05084437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1161241597936883,"score_gpt":0.3912091890193,"score_spread":0.2750850292256117,"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."}}