{"id":"W2077013632","doi":"10.1117/1.2162166","title":"Optical characterization of Pseudomonas fluorescens on meat surfaces using time-resolved fluorescence","year":2006,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Université Laval; Québec Metro High Tech Park (Canada); Institut National d'Optique","funders":"","keywords":"Pseudomonas fluorescens; Fluorescence; Materials science; Characterization (materials science); Optics; Analytical Chemistry (journal); Bacteria; Optoelectronics; Chemistry; Nanotechnology; Chromatography; Biology; 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":[0.00009208667,0.0001819618,0.0004081167,0.0001873313,0.00002678341,0.00001686963,0.0002829325,0.0002129302,0.00002003754],"category_scores_gemma":[0.0002185601,0.0001482625,0.0001099229,0.0003318254,0.0003294466,0.0001264387,0.00003990114,0.0003909872,0.000007757017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009839774,"about_ca_system_score_gemma":0.00001427296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.888041e-7,"about_ca_topic_score_gemma":1.006774e-7,"domain_scores_codex":[0.9982484,0.00001370003,0.0007524102,0.0001108466,0.0005924886,0.0002821427],"domain_scores_gemma":[0.9992033,0.0001369844,0.0002229938,0.0001675055,0.0001499493,0.000119303],"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":[0.00003546903,0.0001135878,0.00006900734,0.00004162991,0.00002927692,0.00006318081,0.000006812532,0.004919687,0.9921264,0.0002167421,0.00009590467,0.002282301],"study_design_scores_gemma":[0.0003870253,0.0001641715,0.0004404689,0.000188732,0.00003771116,0.00006681364,0.00001127816,0.07735786,0.920608,0.0002879159,0.0002987922,0.0001511588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850644,0.00006746274,0.01415777,0.0001716642,0.0002286266,0.00006371895,0.00001571781,0.00009718467,0.0001334447],"genre_scores_gemma":[0.9473099,0.0001270057,0.0522723,0.0000102052,0.0002216253,3.144145e-7,0.00001020604,0.0000324326,0.00001606597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07243817,"threshold_uncertainty_score":0.6045967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00949279275885546,"score_gpt":0.221565462822386,"score_spread":0.2120726700635306,"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."}}