{"id":"W2921022467","doi":"10.1145/3294109.3302961","title":"Using Biometrics as a Social Intervention in Gaming","year":2019,"lang":"en","type":"article","venue":"","topic":"Digital Games and Media","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Biometrics; Closeness; Computer science; Psychological intervention; Intervention (counseling); Human–computer interaction; Internet privacy; Psychology; Computer security","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":[0.004650002,0.000951415,0.0003843362,0.001157418,0.001358904,0.00317212,0.001036094,0.001073227,0.01054877],"category_scores_gemma":[0.01058132,0.0002556138,0.000438795,0.0004556885,0.002200683,0.00213702,0.003493242,0.001021634,0.001523556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008255891,"about_ca_system_score_gemma":0.0007346964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007808216,"about_ca_topic_score_gemma":0.001238603,"domain_scores_codex":[0.9940581,0.004366559,0.0001531537,0.0004156458,0.0006855848,0.0003210275],"domain_scores_gemma":[0.9954265,0.002845962,0.0004524428,0.000368966,0.0003189608,0.0005872335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001294533,0.00558968,0.03337597,0.002058737,0.000159701,0.000763878,0.06735805,0.002239947,0.05341025,0.04761949,0.01020756,0.7759223],"study_design_scores_gemma":[0.00087734,0.02947261,0.1515299,0.004777653,0.0007258867,0.005355051,0.1401662,0.03836108,0.1015201,0.09864464,0.4277689,0.0008006218],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7441384,0.002044784,0.1498665,0.006232944,0.0005339494,0.0009493075,0.0001596524,0.001040834,0.09503365],"genre_scores_gemma":[0.9149178,0.0009700682,0.07197223,0.000684449,0.00008474752,0.0006449056,0.00004505553,0.00008406556,0.01059668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01054877,"threshold_uncertainty_score":0.03528917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07226387743720056,"score_gpt":0.3941728323018241,"score_spread":0.3219089548646236,"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."}}