{"id":"W3159323157","doi":"10.2196/28227","title":"Multifeature Fusion Attention Network for Suicide Risk Assessment Based on Social Media: Algorithm Development and Validation","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Mental Health via Writing","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Computer science; Social media; Context (archaeology); Key (lock); Task (project management); Artificial intelligence; Machine learning; GRASP; Natural language processing; Information retrieval; World Wide Web; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001367102,0.0001688644,0.0002524549,0.00006454197,0.0004421176,0.00004587054,0.00009450014,0.0003802303,0.0003809857],"category_scores_gemma":[0.0001891229,0.0001554624,0.00005766522,0.0001778587,0.00004887761,0.0001061227,0.00006712019,0.0005097378,0.00003419863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000200479,"about_ca_system_score_gemma":0.0002309662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004673933,"about_ca_topic_score_gemma":0.00002217143,"domain_scores_codex":[0.9976558,0.0001763422,0.0007862627,0.0001684644,0.0007899606,0.0004231818],"domain_scores_gemma":[0.9983664,0.0007613903,0.0003400561,0.0001461185,0.0001316373,0.0002544299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005840949,0.000261205,0.00322763,0.0003475345,0.00003675987,0.0000157992,0.006486532,0.00001373086,0.000003454123,0.0008654725,0.01110975,0.9775737],"study_design_scores_gemma":[0.0174296,0.0004871644,0.3996882,0.001715813,0.0001675363,0.00007670487,0.02899858,0.4876591,0.0004568104,0.0009049528,0.06122848,0.001187072],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7195613,0.0001103614,0.2689326,0.002440235,0.003050412,0.001960847,0.0001363044,0.0001999299,0.00360799],"genre_scores_gemma":[0.3175138,0.0000475477,0.6660587,0.007711885,0.002420665,0.001234585,0.004744295,0.00006877888,0.0001997465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9763867,"threshold_uncertainty_score":0.6339574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04330332073854457,"score_gpt":0.4000649289698244,"score_spread":0.3567616082312799,"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."}}