{"id":"W3034176631","doi":"10.2196/18539","title":"Psychiatry on Twitter: Content Analysis of the Use of Psychiatric Terms in French","year":2020,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mental Health via Writing","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Région Occitanie Pyrénées-Méditerranée","keywords":"Annotation; Resource (disambiguation); Content analysis; Psychology; Social media; Word Association; Mental health; Stigma (botany); Psychiatry; Computer science; Artificial intelligence; World Wide Web; Sociology","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":[0.001039657,0.0004268468,0.0002896536,0.006983929,0.001216681,0.001655868,0.0003064832,0.0005326114,0.003148278],"category_scores_gemma":[0.005519645,0.00009053956,0.0003133594,0.00546852,0.0005670557,0.001282819,0.0009605409,0.0002770397,0.0009896971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002535024,"about_ca_system_score_gemma":0.001153983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04946342,"about_ca_topic_score_gemma":0.04503153,"domain_scores_codex":[0.9987375,0.0004679218,0.0001128263,0.0002118764,0.0002741387,0.0001956664],"domain_scores_gemma":[0.9954166,0.002539644,0.000631721,0.000156435,0.0010879,0.00016763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001372384,0.0002725516,0.5059866,0.005322174,0.0001973051,0.004619806,0.129473,0.002306391,0.03833143,0.006872458,0.08044913,0.2247968],"study_design_scores_gemma":[0.00002364079,0.0001795524,0.7204245,0.0006263733,0.00007807583,0.00136896,0.08972667,0.007444903,0.006657609,0.0009978955,0.1723287,0.0001432175],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9269508,0.0008832545,0.00232668,0.001338635,0.00008878339,0.0002593569,0.05904697,0.0003239643,0.008781602],"genre_scores_gemma":[0.9223984,0.001001071,0.006981951,0.0003325909,0.00016607,0.0008479329,0.0623459,0.0001289397,0.005797275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04946342,"threshold_uncertainty_score":0.098351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.337405043973002,"score_gpt":0.4915355375318233,"score_spread":0.1541304935588212,"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."}}