{"id":"W132351435","doi":"10.11575/prism/30769","title":"Supporting Lightweight Customization for Meeting Environments","year":2005,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Personalization; Computer science; Presentation (obstetrics); Interface (matter); Multimedia; Process (computing); Human–computer interaction; Implementation; Modular design; User interface; World Wide Web; Software 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":[0.0003006293,0.00007416507,0.0001211047,0.00006649066,0.0001576646,0.00001666978,0.0005144984,0.00006290969,0.00003961566],"category_scores_gemma":[0.00002909675,0.00009138944,0.00007639613,0.00007759333,0.00004223909,0.0005836647,0.0001524895,0.00006121039,0.00003601375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005814759,"about_ca_system_score_gemma":0.00002432797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005028948,"about_ca_topic_score_gemma":0.000005019661,"domain_scores_codex":[0.999257,0.00003913033,0.0001267453,0.0002398184,0.0001491833,0.0001881276],"domain_scores_gemma":[0.9994608,0.00007204806,0.0001430257,0.0002401759,0.00002395289,0.00006005397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001076358,0.0004476839,0.004649787,0.00009640934,0.00009796792,0.00001023408,0.01497004,0.0002097665,0.01568139,0.01008528,0.01237303,0.9412708],"study_design_scores_gemma":[0.0006644117,0.00007733314,0.001365619,0.00002045829,0.00002096256,0.000001450889,0.00003943973,0.8168784,0.01862301,0.000618359,0.16152,0.0001705694],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04763499,0.00003265683,0.9487654,0.001043942,0.00005297399,0.0001738348,1.692881e-7,0.00004721154,0.00224882],"genre_scores_gemma":[0.3104046,0.00001308101,0.6863377,0.00009380499,0.0000167336,5.395167e-7,0.000004348063,0.00000619343,0.003123015],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9411002,"threshold_uncertainty_score":0.3726753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230451059776219,"score_gpt":0.2133478003615839,"score_spread":0.2010432897638217,"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."}}