{"id":"W4367662784","doi":"10.1109/vrw58643.2023.00126","title":"Memo:me, an AR Sticky Note With Priority-Based Color Transition and On-Time Reminder","year":2023,"lang":"en","type":"article","venue":"","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Ministry of Science and ICT, South Korea","keywords":"Computer science; Transition (genetics); Human–computer interaction; Multimedia","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":[0.0007558686,0.001143473,0.0005057033,0.0004391563,0.0003683648,0.0009879288,0.001775748,0.001192349,0.01563174],"category_scores_gemma":[0.003538362,0.0004040316,0.0004818497,0.000175116,0.0002969166,0.00126788,0.001265371,0.0007233173,0.00375286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001649824,"about_ca_system_score_gemma":0.0003007247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008528685,"about_ca_topic_score_gemma":0.001343359,"domain_scores_codex":[0.9995333,0.0001122327,0.0000425187,0.00011268,0.000121135,0.00007811419],"domain_scores_gemma":[0.9984856,0.000514017,0.0001220012,0.0002866655,0.0002830263,0.000308677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00474305,0.0009360793,0.005324821,0.002966906,0.0002348804,0.001629788,0.002323831,0.00102254,0.1526774,0.005127125,0.1195708,0.7034429],"study_design_scores_gemma":[0.002577139,0.007502258,0.03278026,0.0008980757,0.001350009,0.00729409,0.001642518,0.06467725,0.1649523,0.009798311,0.7053987,0.001129078],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1545353,0.004935897,0.6978339,0.003469729,0.004078184,0.002366339,0.002959589,0.08741768,0.04240339],"genre_scores_gemma":[0.53921,0.001376686,0.4095124,0.003327415,0.0007705668,0.001359991,0.001547701,0.002310296,0.04058486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01563174,"threshold_uncertainty_score":0.05229336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02988130025780072,"score_gpt":0.3253474275980989,"score_spread":0.2954661273402982,"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."}}