{"id":"W4404306181","doi":"10.2196/62680","title":"Probing Public Perceptions of Antidepressants on Social Media: Mixed Methods Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mental Health via Writing","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Social media; Perception; Psychology; Computer science; 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":[0.007465504,0.0004469698,0.0006288634,0.001851977,0.001230139,0.001771254,0.0004947911,0.0008235423,0.002632276],"category_scores_gemma":[0.01796263,0.0004235004,0.0009121878,0.001725783,0.0006155308,0.001804975,0.001484481,0.0009005071,0.0006426423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027793,"about_ca_system_score_gemma":0.001021967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002977343,"about_ca_topic_score_gemma":0.005367856,"domain_scores_codex":[0.9943209,0.003481408,0.0005375636,0.0004654866,0.0007968616,0.0003978356],"domain_scores_gemma":[0.9801607,0.01261867,0.002668744,0.0009637729,0.003081559,0.0005066241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001705233,0.003492526,0.6702784,0.003671635,0.0007082706,0.001699672,0.1893233,0.0002415434,0.003527571,0.001011685,0.005968451,0.1183717],"study_design_scores_gemma":[0.0002249078,0.003364138,0.6711272,0.001976968,0.0007229957,0.001227446,0.294184,0.002506746,0.002164778,0.0009334148,0.02137141,0.0001959957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939015,0.0005019509,0.0008682265,0.0002575667,0.00003714767,0.001117822,0.001244535,0.00001157414,0.002059527],"genre_scores_gemma":[0.9876967,0.001083811,0.003360351,0.001079999,0.0001353929,0.003896613,0.001292457,0.00002620632,0.001428436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007465504,"threshold_uncertainty_score":0.03948182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3065229209324519,"score_gpt":0.6103685561184468,"score_spread":0.3038456351859949,"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."}}