{"id":"W3124812452","doi":"10.20944/preprints201808.0295.v1","title":"Review of Biomedical Applications of Contactless Imaging of Neonates using Infrared Thermography and Beyond","year":2018,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Winnipeg Regional Health Authority; University of Saskatchewan","funders":"","keywords":"Thermography; Infrared; Biomedical engineering; Modalities; Modality (human–computer interaction); Continuous monitoring; Materials science; Medicine; Computer science; Optics; Human–computer interaction; Engineering; Physics","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":[0.001362218,0.0003872603,0.001582728,0.0007709744,0.00004114147,0.000002435645,0.0004842741,0.0002982863,0.0006612735],"category_scores_gemma":[0.000408416,0.0003467295,0.0004210783,0.0007090807,0.001822929,0.00004928413,0.0009221146,0.0006540049,0.000004252352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003898524,"about_ca_system_score_gemma":0.0003214011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001481403,"about_ca_topic_score_gemma":4.931306e-7,"domain_scores_codex":[0.996691,0.0001570196,0.001548718,0.0006712878,0.0006478366,0.0002841559],"domain_scores_gemma":[0.995394,0.0001987781,0.001488439,0.001661846,0.001051139,0.0002058243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001910131,0.0005205884,0.7868661,0.05972583,0.001091852,0.00000846919,0.001340439,8.462736e-7,0.1435576,0.0003045067,0.0001407035,0.006252041],"study_design_scores_gemma":[0.004373281,0.0003167797,0.6282099,0.1402015,0.004945371,0.0002011176,0.0009654646,0.0003067515,0.2011787,0.01234094,0.005890259,0.001069921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9287898,0.0592118,0.001266895,0.0003643423,0.0002451539,0.00276081,0.0002381942,0.00006930769,0.007053677],"genre_scores_gemma":[0.9769026,0.01881271,0.003237082,0.0004829844,0.0001709573,0.0001405763,0.0001692678,0.00006244062,0.00002135713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1586562,"threshold_uncertainty_score":0.9998985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05648404465071857,"score_gpt":0.3628756513468073,"score_spread":0.3063916066960887,"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."}}