{"id":"W4409720470","doi":"10.1145/3706599.3721097","title":"Designing Mechanisms to Empower Attendees of Remote Meetings to Promote More Effective and Helpful Meetings","year":2025,"lang":"en","type":"article","venue":"","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Knowledge management","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":[0.01764089,0.000528941,0.0002756034,0.001061936,0.00262623,0.003596603,0.001955799,0.001745867,0.009467183],"category_scores_gemma":[0.04794659,0.0005973855,0.0004874005,0.0005551475,0.00126313,0.005018535,0.003895988,0.001946389,0.001429658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009591327,"about_ca_system_score_gemma":0.004217985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000883955,"about_ca_topic_score_gemma":0.001348132,"domain_scores_codex":[0.9922396,0.005106459,0.0003866165,0.0007557559,0.0007537198,0.0007578367],"domain_scores_gemma":[0.9452756,0.03266552,0.00781261,0.005400697,0.003695181,0.005150399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002243034,0.008367828,0.0541484,0.003144595,0.0003091413,0.0005992951,0.05965319,0.004050857,0.07965849,0.03947058,0.01631983,0.7320348],"study_design_scores_gemma":[0.005149205,0.01495572,0.1524338,0.004232707,0.002118315,0.001529093,0.1354725,0.07069004,0.1372865,0.1344361,0.3408465,0.0008496112],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.588139,0.0004652453,0.3551207,0.00764623,0.0005453344,0.004990918,0.0001336185,0.003254597,0.03970445],"genre_scores_gemma":[0.7890903,0.0002070163,0.1985185,0.0009138904,0.0001249192,0.003249771,0.00009479128,0.0001217521,0.007679062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01764089,"threshold_uncertainty_score":0.09329504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053700194879244,"score_gpt":0.3069503719233703,"score_spread":0.2964133699745778,"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."}}