{"id":"W2767125809","doi":"10.12927/cjnl.2017.25253","title":"Social Media Technology and Public Health in Ontario: Findings from a Planning Meeting Exploring Current Practices and Future Research Directions","year":2017,"lang":"en","type":"article","venue":"Nursing leadership","topic":"Focus Groups and Qualitative Methods","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fanshawe College; London Health Sciences Centre; Wilfrid Laurier University; Western University","funders":"","keywords":"Public relations; Social media; Health promotion; Public health; Government (linguistics); Corporate governance; Political science; Sociology; Business; Medicine; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.008640746,0.0004223096,0.0004569135,0.002778779,0.01789419,0.00595727,0.001777828,0.001582588,0.003568201],"category_scores_gemma":[0.01442847,0.0007372901,0.0004892302,0.007847494,0.004862964,0.003166524,0.005360469,0.001869944,0.0002486854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07772087,"about_ca_system_score_gemma":0.2016135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9357485,"about_ca_topic_score_gemma":0.9698178,"domain_scores_codex":[0.9947635,0.00185111,0.0002512929,0.0003137099,0.001156285,0.001664084],"domain_scores_gemma":[0.9824381,0.008376095,0.001755757,0.0003800642,0.003655151,0.003394713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008292642,0.0001454596,0.04268417,0.001036546,0.0000115734,0.001215144,0.90617,0.0001359872,0.0008840483,0.001535315,0.003387878,0.04271083],"study_design_scores_gemma":[0.000009423275,0.00006123489,0.04438946,0.0004099249,0.00001190668,0.00006456143,0.9349788,0.00009511,0.0001332394,0.0002133106,0.0196062,0.00002680036],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9340648,0.003971829,0.0008608064,0.02711822,0.00008821999,0.001456382,0.000826399,0.00005009037,0.03156339],"genre_scores_gemma":[0.9809175,0.005699228,0.002217978,0.001282255,0.00003154274,0.001018679,0.0002518009,0.00002458362,0.008556439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07772087,"threshold_uncertainty_score":0.563907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8602958349278383,"score_gpt":0.5701161104781505,"score_spread":0.2901797244496879,"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."}}