{"id":"W4225129379","doi":"10.1145/3491101.3519705","title":"AR Music Visualizers: Application Space and Design Guidelines","year":2022,"lang":"en","type":"article","venue":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Visualization; Space (punctuation); Augmented reality; Multimedia; Human–computer interaction; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01223418,0.002369398,0.0008201802,0.003535985,0.001356811,0.005872374,0.003473923,0.003940102,0.005864665],"category_scores_gemma":[0.01984785,0.002018811,0.001012954,0.001489907,0.001893681,0.005011081,0.002386554,0.002476746,0.003717724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215478,"about_ca_system_score_gemma":0.002766239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002495006,"about_ca_topic_score_gemma":0.00428318,"domain_scores_codex":[0.9892664,0.005516379,0.00144867,0.0006043506,0.002763685,0.0004004912],"domain_scores_gemma":[0.9840646,0.008533299,0.001073818,0.001270478,0.004335837,0.0007217894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006225483,0.001267495,0.004928824,0.00750082,0.0001027266,0.003005726,0.0263958,0.04276146,0.09586926,0.2341922,0.05540834,0.5279447],"study_design_scores_gemma":[0.0003480179,0.001110491,0.003948292,0.005082068,0.0001778473,0.003316646,0.007633065,0.09621492,0.03524346,0.08197626,0.7645707,0.0003783395],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01692897,0.002839794,0.9371282,0.005414766,0.0001327202,0.002371178,0.0004419563,0.005762466,0.02897995],"genre_scores_gemma":[0.05497176,0.002626939,0.9260841,0.0005680699,0.00007135709,0.002827981,0.0005560521,0.001040353,0.01125331],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01223418,"threshold_uncertainty_score":0.06470132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1794727996739188,"score_gpt":0.3674154495051992,"score_spread":0.1879426498312805,"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."}}