{"id":"W2917957402","doi":"10.3390/diagnostics9010022","title":"Understanding Real-Time Fluorescence Signals from Bacteria and Wound Tissues Observed with the MolecuLight i:XTM","year":2019,"lang":"en","type":"article","venue":"Diagnostics","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health; Lions Gate Hospital; The Scarborough Hospital","funders":"","keywords":"Fluorescence; Bacteria; Fluorescence-lifetime imaging microscopy; Fluorescence microscope; Biomedical engineering; Computer science; Medicine; Biology; Optics; 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":[],"consensus_categories":[],"category_scores_codex":[0.00007879443,0.0001528128,0.0002433795,0.00002587898,0.0001047853,0.00006617602,0.00006161597,0.00006877973,0.0001714242],"category_scores_gemma":[0.00007744461,0.00009135021,0.0000237826,0.00008497178,0.0000789497,0.00004513743,0.00002834327,0.000105543,0.0001629534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007859443,"about_ca_system_score_gemma":0.0000534215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003165813,"about_ca_topic_score_gemma":0.00002561842,"domain_scores_codex":[0.9991845,0.00003996367,0.000127621,0.0002360062,0.0002025473,0.0002093397],"domain_scores_gemma":[0.998639,0.000859492,0.00006065303,0.000284473,0.00004379511,0.0001126033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006886981,0.0004512774,0.9354202,0.0001799524,0.0007776684,0.0007541685,0.004176138,0.00003024174,0.04523825,0.00219667,0.009575225,0.0005114709],"study_design_scores_gemma":[0.007852243,0.002563476,0.9507494,0.00235024,0.001468255,0.00006598789,0.001868987,0.001003263,0.02221098,0.002836981,0.006237725,0.0007924492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957814,0.0003794336,0.00009006898,0.001576713,0.00008210879,0.0004287853,0.00003663368,0.00005275302,0.001572056],"genre_scores_gemma":[0.996596,0.0008620825,0.001288607,0.0002450433,0.00009156669,0.00001098646,0.0001079627,0.00002639452,0.0007713242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02302726,"threshold_uncertainty_score":0.3725153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06148506394514704,"score_gpt":0.2685314585460336,"score_spread":0.2070463946008865,"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."}}