{"id":"W4385654927","doi":"10.3390/informatics10030065","title":"Exploring How Healthcare Organizations Use Twitter: A Discourse Analysis","year":2023,"lang":"en","type":"article","venue":"Informatics","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Vector Institute; York University; Alliance de recherche numérique du Canada; Lakehead University","keywords":"Popularity; Social media; Health care; Reputation; Public relations; Content analysis; Health literacy; Internet privacy; Psychology; Business; World Wide Web; Political science; Computer science; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005476848,0.00007542028,0.0001517243,0.0004381847,0.0007461937,0.0002300924,0.000178581,0.00006502536,0.00003516216],"category_scores_gemma":[0.004615344,0.00007996687,0.00004875219,0.007076653,0.0001067207,0.001554915,0.00003487022,0.0001224759,0.0002179033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002327101,"about_ca_system_score_gemma":0.0004797935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003884125,"about_ca_topic_score_gemma":0.002293608,"domain_scores_codex":[0.998698,0.0001005791,0.0002927541,0.00006698206,0.0004630695,0.0003786375],"domain_scores_gemma":[0.9982209,0.0008543329,0.0001670438,0.0002119294,0.0003257007,0.0002200452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[8.729341e-7,0.00001344526,0.1917904,0.00005347685,0.0000547039,6.586666e-7,0.793713,0.0001851971,5.555389e-7,0.005117782,0.002148929,0.006920876],"study_design_scores_gemma":[0.0001460392,0.0000228332,0.1745968,0.00004512442,0.000211968,3.257091e-7,0.7272664,0.002367385,0.00001281414,0.0003041918,0.09472521,0.0003008246],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9635721,0.000007593085,0.001289884,0.031422,0.002470247,0.0005562029,0.00001574521,0.0003894036,0.0002767543],"genre_scores_gemma":[0.9967499,0.0004029566,0.00125022,0.0004175282,0.0005092325,0.0003494144,0.0001075595,0.0000126085,0.0002005687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09257628,"threshold_uncertainty_score":0.587166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4010529409893426,"score_gpt":0.4446230285398389,"score_spread":0.04357008755049635,"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."}}