{"id":"W4392248356","doi":"10.1109/icce59016.2024.10444400","title":"Comparison of Different Color Spaces for Abnormality Detection in Breast Thermograms","year":2024,"lang":"en","type":"article","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Abnormality; Computer science; Artificial intelligence; Computer vision; Pattern recognition (psychology); Medicine","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":[0.001083231,0.0005477758,0.0004905316,0.001637805,0.0001943334,0.001069571,0.0004280342,0.0003541098,0.001040891],"category_scores_gemma":[0.004336119,0.0001003572,0.0004419382,0.00104881,0.000306508,0.0006351628,0.0005028397,0.0003565846,0.0003659504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003125854,"about_ca_system_score_gemma":0.0003807986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002007077,"about_ca_topic_score_gemma":0.001599534,"domain_scores_codex":[0.9992788,0.0002171107,0.00005300836,0.00009982861,0.0002624368,0.0000887552],"domain_scores_gemma":[0.9982839,0.0007544879,0.0001643816,0.0001294888,0.0005833083,0.00008442337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003213509,0.0004052861,0.01623272,0.0004890592,0.0001887057,0.0002201397,0.0002239799,0.06617904,0.1052898,0.002198279,0.002094793,0.8032647],"study_design_scores_gemma":[0.00003189275,0.000874342,0.03394315,0.00005636504,0.0001344151,0.0005896818,0.0003356564,0.8372523,0.1237126,0.0009121869,0.002084699,0.0000726385],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7404016,0.003097577,0.2502291,0.0002084032,0.0001462779,0.0001024936,0.00027771,0.002124225,0.003412636],"genre_scores_gemma":[0.9095907,0.0008592957,0.08812467,0.00004385027,0.00002477942,0.00003460208,0.0003329721,0.00008416172,0.0009050042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002007077,"threshold_uncertainty_score":0.005728722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02235906983304105,"score_gpt":0.3375404459497885,"score_spread":0.3151813761167475,"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."}}