{"id":"W1539921850","doi":"10.1111/j.1365-2672.2007.03413.x","title":"Confocal Raman microspectroscopy as a tool for studying the chemical heterogeneities of biofilms in situ","year":2007,"lang":"en","type":"article","venue":"Journal of Applied Microbiology","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Biofilm; Confocal; In situ; Chemistry; Raman microspectroscopy; Confocal microscopy; Extracellular polymeric substance; Confocal laser scanning microscopy; Raman spectroscopy; Biophysics; Chemical imaging; Chemical engineering; Microbiology; Bacteria; Biology; Cell biology; Optics","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":[0.001045832,0.0001532445,0.0003415368,0.00009164533,0.00003507309,0.000009948242,0.0004903614,0.0003059058,0.00001346637],"category_scores_gemma":[0.0001083903,0.0001032373,0.0001751609,0.0001167822,0.0005720283,0.000002231153,0.0001558255,0.0003106175,0.000001193357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000485141,"about_ca_system_score_gemma":0.0001085321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002707984,"about_ca_topic_score_gemma":0.000004725933,"domain_scores_codex":[0.9985901,0.00002186807,0.0006591485,0.0002082431,0.00009826552,0.0004224177],"domain_scores_gemma":[0.9992151,0.0001392096,0.0002603012,0.000195528,0.0001243809,0.00006544801],"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":[0.001823336,0.0001420309,0.0001900485,0.00002504304,0.00006941358,0.000004230822,0.00005383129,3.690972e-7,0.9949576,0.000605004,0.001363682,0.0007653552],"study_design_scores_gemma":[0.001075167,0.0007574213,0.00005251974,0.00001808114,0.00001402567,0.0001310062,0.000152207,4.388795e-7,0.9826741,0.000793825,0.01422317,0.0001080976],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99547,0.0004020342,0.002799873,0.0001624856,0.00009072796,0.0003029413,0.0000125982,0.000003941442,0.0007553951],"genre_scores_gemma":[0.9932783,0.0001724266,0.005799805,0.0004187526,0.0002433721,0.00001449008,0.00002527518,0.00001563094,0.00003201095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01285949,"threshold_uncertainty_score":0.4209894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009660730329153423,"score_gpt":0.3118446973240267,"score_spread":0.3021839669948733,"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."}}