{"id":"W4387345067","doi":"10.1145/3610200","title":"Perspectives: Creating Inclusive and Equitable Hybrid Meeting Experiences","year":2023,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsoft (Canada)","funders":"","keywords":"Mode (computer interface); Computer science; Key (lock); Human–computer interaction; Space (punctuation); Universal design; Work (physics); Natural (archaeology); Multimedia; Architectural engineering; Engineering; World Wide Web; Computer security; Mechanical engineering","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":[0.0006061275,0.0002363542,0.0002560984,0.0005793956,0.0008814289,0.0003342873,0.002181675,0.00007465456,0.0000126982],"category_scores_gemma":[0.0006812717,0.0001982231,0.00009200485,0.0008463106,0.0001838441,0.00184262,0.003841511,0.0004707053,0.0000266601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002219358,"about_ca_system_score_gemma":0.00001748574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003603295,"about_ca_topic_score_gemma":0.000001795398,"domain_scores_codex":[0.9980841,0.00002461547,0.0004416118,0.0006636129,0.0003985742,0.000387483],"domain_scores_gemma":[0.9980252,0.0002387294,0.0006349082,0.0004922032,0.0005751183,0.00003379439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001213371,0.0004060846,0.002426582,0.000272466,0.0003078218,0.00001299617,0.2672366,0.0002435884,0.3398055,0.3201805,0.02035574,0.04863076],"study_design_scores_gemma":[0.0009034231,0.001219992,0.005734078,0.001535827,0.00003395407,0.0002607427,0.09332403,0.07889206,0.7514946,0.06447913,0.001289036,0.0008331418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890568,0.00001719975,0.001307407,0.002363669,0.0008973279,0.0002829862,7.94678e-7,0.0004752715,0.005598503],"genre_scores_gemma":[0.9921425,0.000006938752,0.007080157,0.0001782835,0.0002684403,0.00008205158,0.000001033018,0.00001902914,0.0002215902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4116891,"threshold_uncertainty_score":0.8083304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03901074238501662,"score_gpt":0.3363249221432848,"score_spread":0.2973141797582682,"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."}}