{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001587805,0.000296598,0.0002946454,0.002716555,0.0007228708,0.001094729,0.0003704643,0.0003891668,0.001907474],"category_scores_gemma":[0.009481484,0.0001498507,0.0006157817,0.00215753,0.0004029039,0.001962653,0.001244772,0.0004929991,0.0001455138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007794051,"about_ca_system_score_gemma":0.0007601054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006359517,"about_ca_topic_score_gemma":0.00979011,"domain_scores_codex":[0.9987885,0.0006116193,0.00008967522,0.0002214743,0.0001653408,0.0001233275],"domain_scores_gemma":[0.9945952,0.00287028,0.001389007,0.0002506184,0.0004526074,0.0004423452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000137395,0.0001252213,0.9625605,0.0001339556,0.0002297699,0.0002998076,0.004007739,0.001471737,0.0003679705,0.0022738,0.0009533165,0.02743871],"study_design_scores_gemma":[0.00004183332,0.0001863195,0.9022015,0.0001469014,0.0004507441,0.0005985689,0.01299492,0.07109165,0.0005168692,0.007390568,0.004330541,0.00004960922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933889,0.0003523864,0.00344464,0.0004370302,0.00001363576,0.00008684957,0.0006292752,0.00001968836,0.001627589],"genre_scores_gemma":[0.998305,0.00009807367,0.001072681,0.00002178331,0.000008719089,0.00003654948,0.0002666966,0.000002111435,0.000188396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006359517,"threshold_uncertainty_score":0,"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."}}