{"id":"W2951233147","doi":"10.48550/arxiv.1407.7317","title":"A unified framework for thermal face recognition","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Facial recognition system; Computer science; Modality (human–computer interaction); Face (sociological concept); Thermal infrared; Three-dimensional face recognition; Artificial intelligence; Facial expression; Computer vision; Reduction (mathematics); Occlusion; Infrared; Pattern recognition (psychology); Speech recognition; Face detection; Mathematics; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002477212,0.0002771456,0.0002794421,0.0001821107,0.0001862163,0.0001506263,0.001172146,0.0005297787,0.0000481251],"category_scores_gemma":[0.0000917517,0.0003057192,0.0002465546,0.0002591783,0.00005162393,0.0003236922,0.0007858849,0.0005205199,0.0002864832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007301758,"about_ca_system_score_gemma":0.00009453821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002644831,"about_ca_topic_score_gemma":0.000004399557,"domain_scores_codex":[0.9982969,0.0001405172,0.0001776614,0.0009664915,0.00008036302,0.000338086],"domain_scores_gemma":[0.9982222,0.0002966227,0.0002594934,0.0008757433,0.0002027644,0.0001431181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006573073,0.0007340913,0.0004689233,0.001105519,0.00052415,0.000198334,0.002337015,0.2631646,0.001812479,0.5965306,0.008740971,0.1237259],"study_design_scores_gemma":[0.0005562612,0.00008966787,0.0001294323,0.0003786062,0.000062766,0.000001669951,0.0000842971,0.4500156,0.001971368,0.544947,0.001199207,0.0005642129],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1652636,0.00001621157,0.8318703,0.000214801,0.0007604717,0.0004308209,0.00003380428,0.0002825498,0.001127487],"genre_scores_gemma":[0.9640543,0.0000598497,0.03467644,0.0003524458,0.000159952,0.000007594592,0.00009744236,0.00002062941,0.0005713378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7987908,"threshold_uncertainty_score":0.9999395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102430684220265,"score_gpt":0.2080633949656835,"score_spread":0.1056327107454185,"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."}}