{"id":"W3211756976","doi":"10.1145/3486933","title":"PACMHCI V5, ISS, November 2021 Editorial","year":2021,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Variety (cybernetics); Pleasure; Library science; Operations research; Computer science; Psychology; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002596606,0.0002064192,0.0002239619,0.0001028032,0.0002827095,0.0003417624,0.002750075,0.0001225591,0.00005460635],"category_scores_gemma":[0.0002175077,0.0001690359,0.000201731,0.0005336435,0.00005767935,0.0008496201,0.002062452,0.000462974,0.00009338329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001403226,"about_ca_system_score_gemma":0.00005073598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002710966,"about_ca_topic_score_gemma":0.000006310174,"domain_scores_codex":[0.9980945,0.0000216954,0.0004270585,0.0005898413,0.0006147689,0.0002521158],"domain_scores_gemma":[0.997533,0.0001330133,0.0004301441,0.00111903,0.0007153619,0.00006941583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000326151,0.0008018317,0.0002356019,0.00008801814,0.0001886339,0.000001918784,0.001572963,0.0002489717,0.1291,0.1093608,0.735871,0.02249764],"study_design_scores_gemma":[0.001532603,0.0003675707,0.00499702,0.000649686,0.000109459,0.0001331868,0.0003098132,0.01973812,0.5722784,0.07061858,0.3284005,0.0008650656],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3901093,0.0001570527,0.1805404,0.0994737,0.2339589,0.00300064,0.00005075366,0.001399743,0.09130947],"genre_scores_gemma":[0.9294649,0.00002140839,0.0309396,0.001460186,0.03597317,0.0001197648,0.00001684967,0.00005332063,0.001950748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5393556,"threshold_uncertainty_score":0.6893084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03661555295848269,"score_gpt":0.31731690934167,"score_spread":0.2807013563831873,"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."}}