{"id":"W7084093224","doi":"10.1145/3746058.3758471","title":"Toward Everyday Perceptual and Physiological Augmentation","year":2025,"lang":"en","type":"article","venue":"","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Perception; Everyday life; Set (abstract data type); Affect (linguistics)","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":[0.001133848,0.0006136912,0.0002894949,0.0003541673,0.0003429686,0.002154616,0.0006569573,0.0006111361,0.02069166],"category_scores_gemma":[0.002363052,0.0002479219,0.0003621594,0.0002817497,0.0007305378,0.001631248,0.002416576,0.0008330969,0.003898993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001913634,"about_ca_system_score_gemma":0.0005479854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008644327,"about_ca_topic_score_gemma":0.001500989,"domain_scores_codex":[0.9995201,0.000155029,0.00002750012,0.0001182528,0.0001293856,0.00004975488],"domain_scores_gemma":[0.9991953,0.0002540789,0.00003439122,0.0001912752,0.0002468837,0.0000780629],"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":[0.000812565,0.000572442,0.002457737,0.0004324168,0.0000440053,0.000246671,0.0009798401,0.001609331,0.2146666,0.008176446,0.01075824,0.7592436],"study_design_scores_gemma":[0.0003393891,0.004340892,0.08894903,0.0008124016,0.0004383521,0.002229615,0.006204656,0.1748683,0.3123532,0.05523558,0.353904,0.0003245305],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2697474,0.002409144,0.5666251,0.004624032,0.001724102,0.0007058696,0.001495128,0.009728783,0.1429404],"genre_scores_gemma":[0.642832,0.001755012,0.3102782,0.0008892518,0.0003989209,0.000397046,0.001152888,0.0006493746,0.04164743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02069166,"threshold_uncertainty_score":0.06922048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3768048692854181,"score_gpt":0.5231299488754104,"score_spread":0.1463250795899923,"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."}}