{"id":"W3216512256","doi":"10.1109/cw52790.2021.00050","title":"Multi-Modal Aesthetic System for Person Identification","year":2021,"lang":"en","type":"article","venue":"","topic":"Aesthetic Perception and Analysis","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modal; Computer science; Preference; Biometrics; Identification (biology); Taste; Identity (music); Recommender system; Human–computer interaction; Domain (mathematical analysis); Artificial intelligence; Subject (documents); Computer vision; Information retrieval; Psychology; World Wide Web; Aesthetics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001002216,0.00006616979,0.00009285033,0.00004111389,0.0001516244,0.00007487697,0.00009680177,0.00003404829,0.0001923152],"category_scores_gemma":[0.00007599544,0.00005816718,0.000118608,0.0001788493,0.00003260937,0.00006934506,0.00001111155,0.0000334891,0.0003733248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003900419,"about_ca_system_score_gemma":0.00002440497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006658984,"about_ca_topic_score_gemma":0.00000769186,"domain_scores_codex":[0.9992322,0.00006010799,0.0001349727,0.00030852,0.0001367489,0.0001274772],"domain_scores_gemma":[0.9996217,0.00001003839,0.00004421026,0.0002122182,0.00006009586,0.00005169092],"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":[0.000003340233,0.00006842166,0.00003884845,0.0000183896,5.713812e-7,0.000006043915,0.0002623282,0.00002949655,0.9871516,0.004578618,0.0002792884,0.007563082],"study_design_scores_gemma":[0.00143679,0.00004862528,0.001794792,0.00003975432,0.00008919241,0.0004117102,0.01078518,0.3208068,0.6529773,0.00006479128,0.0111144,0.0004307303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7244152,0.00003302007,0.2665113,0.003561254,0.0003298519,0.0002728147,0.00001841833,0.0003276806,0.004530531],"genre_scores_gemma":[0.9768262,0.000006118635,0.001737738,0.0003435676,0.00001762632,0.00003034016,0.00000613125,0.000009056726,0.02102325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3341743,"threshold_uncertainty_score":0.479846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07686026501904888,"score_gpt":0.307910745740648,"score_spread":0.2310504807215991,"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."}}