{"id":"W4295793116","doi":"10.1007/978-3-031-15325-9_9","title":"Designing an Anti-Bullying Serious Game: Insights from Interviews with Teachers","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Bullying, Victimization, and Aggression","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; University of Waterloo","funders":"","keywords":"Psychological intervention; Intervention (counseling); Psychology; Robot; Qualitative research; Work (physics); Applied psychology; Computer science; Engineering; Sociology; Artificial intelligence","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":[0.006060549,0.0007663391,0.0007433061,0.001038729,0.007490383,0.004948531,0.001873475,0.00178549,0.001901409],"category_scores_gemma":[0.01402819,0.0009783785,0.0003091331,0.0005948758,0.004803347,0.003916561,0.003080008,0.004000797,0.0004606454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002535524,"about_ca_system_score_gemma":0.003885585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007993907,"about_ca_topic_score_gemma":0.0246583,"domain_scores_codex":[0.9947988,0.003409178,0.0001967,0.0003629115,0.0005222184,0.0007101073],"domain_scores_gemma":[0.9897853,0.007155102,0.0007304265,0.0001667888,0.000690486,0.001471985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003299588,0.0003242059,0.005125027,0.0001364585,0.000006409299,0.0008236715,0.9800143,0.00009267851,0.002317741,0.0009761353,0.0009835425,0.009166926],"study_design_scores_gemma":[0.00001033314,0.0001562847,0.005387119,0.0001503315,0.00001511419,0.0005830178,0.9763936,0.0002658203,0.0009266449,0.000434669,0.01565268,0.00002426639],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729457,0.00065423,0.01104491,0.001611085,0.00007625965,0.0003915078,0.00008535157,0.0000822986,0.01310847],"genre_scores_gemma":[0.9839018,0.0005861134,0.005917388,0.0005295501,0.00001134526,0.0002478315,0.00005843969,0.00008227111,0.008665286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007993907,"threshold_uncertainty_score":0.03205168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02701582161042486,"score_gpt":0.280518019803076,"score_spread":0.2535021981926511,"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."}}