{"id":"W4387337801","doi":"10.1016/j.cjca.2023.06.227","title":"SOCIAL SUPPORT IN A VIRTUAL WORLD: NETWORK ANALYSIS AND DIRECTED CONTENT ANALYSIS OF A PEER NETWORK FOR YOUTH WITH TYPE 1 DIABETES","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Centrality; Thematic analysis; Medicine; Social network (sociolinguistics); Peer support; Social network analysis; General partnership; Social support; Peer-to-peer; Content analysis; Internet privacy; World Wide Web; Social media; Social psychology; Computer science; Qualitative research; Psychology; Nursing; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001717393,0.0001960454,0.0002386193,0.002550988,0.001218453,0.001592673,0.0005812498,0.0004458085,0.001621001],"category_scores_gemma":[0.01329091,0.0001173569,0.0003939515,0.002117986,0.0003242738,0.00203467,0.001793231,0.000474465,0.00012571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155378,"about_ca_system_score_gemma":0.0009902711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01312045,"about_ca_topic_score_gemma":0.02362287,"domain_scores_codex":[0.9987601,0.0007704842,0.00008804986,0.0001186668,0.0001408937,0.0001218027],"domain_scores_gemma":[0.9928697,0.004883537,0.0008816968,0.0002033334,0.0006116008,0.0005501831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003692597,0.0008498672,0.8699132,0.0003721237,0.0002532423,0.0003721757,0.06525981,0.0009511429,0.0008461124,0.001530315,0.001414357,0.0578684],"study_design_scores_gemma":[0.00003173407,0.0003857421,0.835813,0.0001867338,0.0004181468,0.0003085874,0.141798,0.01491303,0.0005797413,0.001909132,0.003600736,0.00005536463],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987368,0.00004530005,0.0003598428,0.00008699023,0.000004146535,0.00004345583,0.0001827904,0.000004887187,0.0005357093],"genre_scores_gemma":[0.9986035,0.00006722706,0.0007813618,0.00001496435,0.000006709311,0.0000912143,0.0002645936,0.000003524143,0.0001670108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01312045,"threshold_uncertainty_score":0.02608812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08046680478741686,"score_gpt":0.3867101581259986,"score_spread":0.3062433533385818,"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."}}