{"id":"W4293261811","doi":"10.1145/3487553.3524872","title":"MAISoN’22: 8th International Workshop on Mining Actionable Insights from Social Networks Special Edition on Mental Health and Social Media","year":2022,"lang":"en","type":"article","venue":"Companion Proceedings of the Web Conference 2022","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Ottawa; Toronto Metropolitan University","funders":"","keywords":"Social media; Mental health; Data science; Focus (optics); Computer science; Social network analysis; Coronavirus disease 2019 (COVID-19); World Wide Web; Psychology; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02345648,0.002400132,0.003126235,0.009257642,0.002522463,0.01508305,0.004451819,0.004738559,0.01688063],"category_scores_gemma":[0.05249151,0.001563487,0.005733744,0.007340807,0.002911103,0.01378741,0.01055188,0.007946301,0.0069009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00320404,"about_ca_system_score_gemma":0.005304171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007335768,"about_ca_topic_score_gemma":0.01542269,"domain_scores_codex":[0.9824079,0.009159261,0.001113837,0.00275097,0.003819111,0.0007488986],"domain_scores_gemma":[0.9318362,0.04993396,0.001460137,0.007376546,0.005455439,0.003937681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003155342,0.0005051892,0.005574685,0.002411468,0.0007694631,0.0008987258,0.003678763,0.003758051,0.002408914,0.02653218,0.4804378,0.4727091],"study_design_scores_gemma":[0.00004677915,0.0001462495,0.007239226,0.002288888,0.0001229614,0.0006009637,0.002872866,0.01242518,0.001549154,0.04717392,0.9253755,0.0001583035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02806104,0.1641807,0.4966557,0.1302173,0.05289058,0.003052966,0.05569427,0.01100073,0.05824681],"genre_scores_gemma":[0.07805009,0.08421475,0.5478685,0.01829714,0.02053952,0.003488464,0.1261858,0.004296428,0.1170592],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02345648,"threshold_uncertainty_score":0.1240512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04448717615415377,"score_gpt":0.2826186401625389,"score_spread":0.2381314640083851,"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."}}