{"id":"W4365999205","doi":"10.1145/3579525","title":"Supporters First: Understanding Online Social Support on Mental Health from a Supporter Perspective","year":2023,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Mental Health via Writing","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsoft (Canada)","funders":"Ministry of Education","keywords":"Social support; Seekers; Psychology; Mental health; Upload; Peer support; Supporter; Perspective (graphical); Scale (ratio); Social psychology; Applied psychology; World Wide Web; Computer science; Political science; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004484497,0.0003215647,0.0004198556,0.0004032527,0.0007719297,0.00008367107,0.0008871559,0.0001323611,0.0009082666],"category_scores_gemma":[0.00004661307,0.0002839768,0.0002504523,0.0003691334,0.0001018901,0.0002848283,0.0004528351,0.0006368593,0.0002620399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00186498,"about_ca_system_score_gemma":0.00003740492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006266613,"about_ca_topic_score_gemma":0.00007978912,"domain_scores_codex":[0.9973039,0.00004628641,0.0007455384,0.0007263993,0.0005561629,0.0006217352],"domain_scores_gemma":[0.998419,0.0001760699,0.0008225455,0.0003547108,0.000103181,0.0001244882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.001314436,0.001519606,0.00693303,0.0002841355,0.0004869263,0.00001370497,0.1408282,0.000008139865,0.00166781,0.03302118,0.8086684,0.005254372],"study_design_scores_gemma":[0.01265081,0.01223231,0.3530998,0.004139478,0.0002187367,0.0002420369,0.526108,0.002563991,0.005619972,0.06188161,0.01878663,0.002456607],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532099,0.000004237912,0.00002317943,0.03392681,0.003629861,0.0008316727,0.0001986013,0.0002750235,0.007900683],"genre_scores_gemma":[0.9942474,0.000004286863,0.0002373872,0.003272401,0.001177665,0.00004085825,0.0001573651,0.00006806853,0.0007945108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7898818,"threshold_uncertainty_score":0.9999613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1889676516677397,"score_gpt":0.4423609538282743,"score_spread":0.2533933021605347,"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."}}