{"id":"W3027792238","doi":"10.2196/16747","title":"An App for Detecting Bullying of Nurses Using Convolutional Neural Networks and Web-Based Computerized Adaptive Testing: Development and Usability Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Workplace Violence and Bullying","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Respondent; Convolutional neural network; Rasch model; Usability; Computer science; Machine learning; Receiver operating characteristic; Artificial intelligence; Applied psychology; Computerized adaptive testing; Psychology; Poison control; Psychometrics; Clinical psychology; Medicine; Human–computer interaction; Medical emergency; Developmental psychology","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":[0.002445049,0.0009325685,0.0003966835,0.0007685807,0.0001544062,0.0004935723,0.0009352717,0.0006614812,0.001826047],"category_scores_gemma":[0.005992144,0.000372242,0.0005422204,0.0002695054,0.0001927763,0.001010138,0.0006673231,0.0004763655,0.0004424074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003328577,"about_ca_system_score_gemma":0.0004923635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002939719,"about_ca_topic_score_gemma":0.00439199,"domain_scores_codex":[0.9991775,0.0002899859,0.00009085907,0.0001405605,0.0002362957,0.00006466375],"domain_scores_gemma":[0.9964141,0.002440111,0.0001373116,0.0001796174,0.0007257079,0.0001031056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002767188,0.006176172,0.08443251,0.003243533,0.0007140263,0.003971813,0.004524107,0.01049,0.05088647,0.0005403018,0.01784376,0.8144101],"study_design_scores_gemma":[0.001386423,0.01724352,0.3335074,0.002066087,0.001787967,0.00879464,0.003869861,0.5017156,0.08392126,0.001302154,0.04385781,0.0005472999],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9244537,0.0007431768,0.05967961,0.0002498368,0.00009283603,0.004118167,0.001197952,0.007482134,0.001982701],"genre_scores_gemma":[0.7999442,0.0009106124,0.1891639,0.0003839519,0.00003596073,0.003149047,0.001876951,0.000323195,0.004212134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002939719,"threshold_uncertainty_score":0.01293075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1486759408145005,"score_gpt":0.4024949389497626,"score_spread":0.2538189981352622,"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."}}