{"id":"W4414564792","doi":"10.1145/3746059.3747623","title":"LightLink: Enhancing Smartwatch Sensing and Actuation Through Visible Light Communication","year":2025,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Smartwatch; Visible spectrum; Visible light communication; Wearable computer; Wearable technology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001527991,0.0004945868,0.0002026271,0.0003886683,0.0002258119,0.0007907773,0.0006985385,0.0006211009,0.01010102],"category_scores_gemma":[0.0004575223,0.0002533532,0.0002081088,0.0002631726,0.0003189876,0.0009371985,0.001111844,0.0004330426,0.002015108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001940009,"about_ca_system_score_gemma":0.0001449399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003040974,"about_ca_topic_score_gemma":0.0008315548,"domain_scores_codex":[0.999713,0.00002900009,0.000006951443,0.00005835612,0.0001611659,0.00003162768],"domain_scores_gemma":[0.999738,0.00008865764,0.00003722312,0.00003334419,0.00006147481,0.00004121819],"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":[0.0004792948,0.0002069904,0.0006677936,0.0001954889,0.00002636356,0.0002309911,0.0001980552,0.00119924,0.8963426,0.002497207,0.006321689,0.09163423],"study_design_scores_gemma":[0.0001123596,0.0008684335,0.002602918,0.00004023596,0.00005812607,0.0005276284,0.00009295307,0.0411482,0.9089115,0.001270871,0.04429115,0.00007559612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3113497,0.001715395,0.629592,0.0007038897,0.0009105362,0.0002353753,0.0005490589,0.01831117,0.03663284],"genre_scores_gemma":[0.8314928,0.000837913,0.08791868,0.0009242778,0.0002380896,0.0001740365,0.000483907,0.001230047,0.07670026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01010102,"threshold_uncertainty_score":0.0337913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00952608778448547,"score_gpt":0.2747013455863395,"score_spread":0.265175257801854,"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."}}