{"id":"W4319594857","doi":"10.3390/ai4010009","title":"Recent Advances in Infrared Face Analysis and Recognition with Deep Learning","year":2023,"lang":"en","type":"article","venue":"AI","topic":"Face recognition and analysis","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Facial recognition system; Computer science; Artificial intelligence; Deep learning; Face (sociological concept); Identification (biology); Pattern recognition (psychology); Field (mathematics); Infrared; Authentication (law); Computer security","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":[0.001197552,0.0007864292,0.000639675,0.001312285,0.0001964719,0.0008906178,0.001128084,0.0006837646,0.003105317],"category_scores_gemma":[0.002180757,0.0003468161,0.0007306756,0.00134397,0.0004497487,0.001553206,0.0009092205,0.001392088,0.001417022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005576318,"about_ca_system_score_gemma":0.0005856789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002874625,"about_ca_topic_score_gemma":0.003161432,"domain_scores_codex":[0.9993758,0.0001023969,0.00004580556,0.0001243237,0.0003075714,0.00004423644],"domain_scores_gemma":[0.9992176,0.0003193293,0.00007199057,0.00008104451,0.0002769475,0.00003309285],"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":[0.00006797295,0.00008462436,0.001072151,0.0006250443,0.00008188249,0.00004664941,0.00005845396,0.01530308,0.005701575,0.007017968,0.005864674,0.9640759],"study_design_scores_gemma":[0.00003481933,0.0004679206,0.006436772,0.0008450486,0.000310182,0.0007915583,0.0001668277,0.6919879,0.03926316,0.03826547,0.2212878,0.0001425467],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01800292,0.1480038,0.8105775,0.002376543,0.000615173,0.00007883066,0.0002739777,0.001519367,0.01855198],"genre_scores_gemma":[0.241596,0.198307,0.5324048,0.00239383,0.001637685,0.0002310967,0.001527771,0.0003725722,0.02152921],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003105317,"threshold_uncertainty_score":0.01038831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243220061288184,"score_gpt":0.2521025802729264,"score_spread":0.2396703796600445,"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."}}