{"id":"W7126453357","doi":"10.21428/594757db.3253427d","title":"Artificial Intelligence solution to monitor key human biomedicalmarker via thermal camera","year":2024,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Key (lock); Economic shortage; Coronavirus disease 2019 (COVID-19); Health care; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000534867,0.0002238769,0.0002832391,0.000535343,0.0001215146,0.00003883326,0.0001570172,0.0001630343,0.00408838],"category_scores_gemma":[0.00008566175,0.0001655513,0.0001527111,0.000919959,0.0002494776,0.00008206029,0.0000631129,0.0004143887,0.001017303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001026407,"about_ca_system_score_gemma":0.00005954586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001647441,"about_ca_topic_score_gemma":0.000007867769,"domain_scores_codex":[0.997989,0.00004855377,0.0004834165,0.000421572,0.0006034173,0.0004540478],"domain_scores_gemma":[0.9990094,0.00008285327,0.00002739642,0.0003934027,0.0001039149,0.0003830249],"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":[0.000154936,0.0001702614,0.0003704762,0.0001410169,0.0001895841,0.000317633,0.001437319,0.000003263003,0.5286167,0.004263119,0.01011234,0.4542234],"study_design_scores_gemma":[0.001193009,0.008907499,0.05839148,0.005307746,0.001841688,0.001115089,0.003888926,0.04105367,0.7350957,0.02530889,0.1147664,0.003129858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7908641,0.0009780088,0.1571419,0.01731308,0.003241396,0.001190114,0.00001315587,0.001077931,0.02818032],"genre_scores_gemma":[0.9915392,0.00001196193,0.003186424,0.001711986,0.001991973,0.00005182159,0.00003365437,0.00004767874,0.001425249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4510935,"threshold_uncertainty_score":0.9997605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02507284856251775,"score_gpt":0.3224265238891316,"score_spread":0.2973536753266139,"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."}}