{"id":"W4307887189","doi":"10.1145/3549498","title":"Feeling Good and In Control: In-game Tools to Support Targets of Toxicity","year":2022,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Sexuality, Behavior, and Technology","field":"Psychology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Feeling; Harm; Toxicity; Psychology; Coping (psychology); Variety (cybernetics); Internet privacy; Computer science; Social psychology; Psychotherapist; Medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005102372,0.0001362495,0.0003168059,0.000426376,0.00005800577,0.00002085793,0.0007449083,0.00008234666,0.0001532765],"category_scores_gemma":[0.0001088319,0.0001273095,0.0000600086,0.0002604169,0.00004488714,0.0001476481,0.0006285073,0.0004684878,0.000003765861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001187644,"about_ca_system_score_gemma":0.000007283334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001852267,"about_ca_topic_score_gemma":0.00004667768,"domain_scores_codex":[0.9987087,0.00003380556,0.0004951321,0.0003572099,0.0001871641,0.0002180487],"domain_scores_gemma":[0.9991987,0.0001096778,0.0003019482,0.0002921231,0.00007086568,0.00002669642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001885028,0.002993366,0.5619969,0.0001357326,0.0001350411,0.0000140443,0.02433245,0.0002501757,0.3251422,0.03008936,0.00465976,0.04836601],"study_design_scores_gemma":[0.005790556,0.005121176,0.8919417,0.0002108294,0.00007040951,0.00015841,0.007201273,0.0005224048,0.06875193,0.01012604,0.009470992,0.0006342495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961975,0.00001185334,0.00001740212,0.0009601492,0.0008165023,0.0004306016,0.000009870545,0.00003675393,0.001519394],"genre_scores_gemma":[0.9988945,7.527544e-7,0.0002049889,0.0005210332,0.00006362582,0.00009330179,0.000002178197,0.00001558231,0.0002040856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3299448,"threshold_uncertainty_score":0.5191529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07045441158871146,"score_gpt":0.3683867162160934,"score_spread":0.297932304627382,"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."}}