{"id":"W3110968339","doi":"10.2196/24618","title":"Development of Social Support Networks by Patients With Depression Through Online Health Communities: Social Network Analysis","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Mental Health via Writing","field":"Psychology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Education, India; National Natural Science Foundation of China","keywords":"Social support; Reciprocity (cultural anthropology); Exponential random graph models; Social network (sociolinguistics); Psychology; Social network analysis; Mental health; Social psychology; Computer science; Psychiatry; Social media; Graph; Random graph; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005396075,0.0002144116,0.0006863982,0.00004703413,0.0005304936,0.00001487452,0.0003909574,0.0002802604,0.001505815],"category_scores_gemma":[0.00001090687,0.0001797653,0.00008917091,0.0007595738,0.0001827306,0.0001440265,0.0002167997,0.0007110824,0.00002031627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001153871,"about_ca_system_score_gemma":0.0002921107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005890328,"about_ca_topic_score_gemma":0.000125353,"domain_scores_codex":[0.9963122,0.0002045498,0.001688865,0.0001110467,0.001039366,0.0006439667],"domain_scores_gemma":[0.9983177,0.0001236319,0.000930644,0.0001613579,0.00009265611,0.0003740289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000446639,0.00110138,0.09685417,0.0008261642,0.0009221801,0.000002501676,0.6460564,0.00007320247,4.635642e-8,0.0003562438,0.1709431,0.08241804],"study_design_scores_gemma":[0.0167404,0.002097471,0.3155234,0.0007795901,0.0005344649,0.000006173867,0.4392708,0.03723148,0.000003797873,0.00003246981,0.1860851,0.001694811],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957886,0.00006604618,0.03553165,0.001527886,0.0002195429,0.0009222424,0.0001762774,0.0001359785,0.00353433],"genre_scores_gemma":[0.9647614,0.000007997837,0.01147587,0.01925824,0.0003394884,0.00005406074,0.004055208,0.00002786388,0.00001984988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2186693,"threshold_uncertainty_score":0.9994069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04223306246799206,"score_gpt":0.3847027752959251,"score_spread":0.342469712827933,"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."}}