{"id":"W4241946043","doi":"10.32920/14637876","title":"Parameters sensitivity assessment and heat source localization using infrared imaging techniques","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Infrared; Body surface; Sensitivity (control systems); Biomedical engineering; Materials science; Chemistry; Optics; Physics; Medicine; Mathematics; Engineering","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":[0.0007895982,0.0004288667,0.0008032307,0.0004279531,0.0001189185,0.0001250161,0.00006101172,0.0003259762,0.00007012835],"category_scores_gemma":[0.0001229121,0.0003982817,0.0001761302,0.0002716427,0.0002729741,0.000099429,0.0005083373,0.0009530021,3.44424e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003328852,"about_ca_system_score_gemma":0.000367807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007776438,"about_ca_topic_score_gemma":0.000007476306,"domain_scores_codex":[0.997658,0.0002756382,0.0004943802,0.0007083788,0.0005217223,0.0003418901],"domain_scores_gemma":[0.9984347,0.0001193806,0.0001504388,0.0007350084,0.0003637869,0.0001967174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002431748,0.0006495421,0.69872,0.004907441,0.001576195,0.002006188,0.004967061,0.006131642,0.167669,0.0001590373,0.001616407,0.1113543],"study_design_scores_gemma":[0.002331212,0.0002467487,0.04405034,0.01124878,0.00234673,0.00262678,0.006620855,0.8423902,0.0841185,0.00149284,0.0007309249,0.001796128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.418011,0.0004116112,0.5767763,0.0003530622,0.0002417194,0.0008278129,0.000006581511,0.0003852313,0.002986753],"genre_scores_gemma":[0.8046678,0.0001895066,0.191981,0.002530372,0.0001761979,0.00002920966,0.0002751389,0.00007446757,0.00007637549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8362585,"threshold_uncertainty_score":0.9998469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02128430122964757,"score_gpt":0.3208398231461873,"score_spread":0.2995555219165397,"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."}}