{"id":"W1975529510","doi":"10.1039/c0an00371a","title":"Confocal Raman microscopy: common errors and artefacts","year":2010,"lang":"en","type":"article","venue":"The Analyst","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":197,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intertek (Canada)","funders":"","keywords":"Raman spectroscopy; Microscopy; Confocal; Microscope; Confocal microscopy; Optics; Profiling (computer programming); Raman microscope; Resolution (logic); Nanotechnology; Materials science; Computer science; Artificial intelligence; Physics; Raman scattering","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":[0.0002418067,0.00009353138,0.0001059856,0.0000208511,0.0001013031,0.0000303061,0.0002922918,0.0001396792,0.00009332094],"category_scores_gemma":[0.00006378943,0.00005869697,0.00005032423,0.00008171071,0.0005518844,0.000001454218,0.0001861938,0.0002920927,0.0000124908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003746745,"about_ca_system_score_gemma":0.00002321913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005654167,"about_ca_topic_score_gemma":0.00009449972,"domain_scores_codex":[0.9993036,0.00002783306,0.0001140765,0.0001974703,0.0001384016,0.0002186607],"domain_scores_gemma":[0.9994293,0.00002242034,0.0000288414,0.0003689479,0.00002954766,0.0001209447],"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":[0.00002991384,0.00002175411,0.001433832,0.00000415239,0.0000226899,0.000001689363,0.000009443003,3.339432e-8,0.989682,0.0003766672,0.007493569,0.000924219],"study_design_scores_gemma":[0.0001260981,0.00009317459,0.001184787,0.000003297428,0.00001360156,0.00001579674,0.00001986516,0.00003692744,0.8407925,0.0007904739,0.1568411,0.00008238995],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928274,0.0001593008,0.0003370483,0.001300519,0.00004822234,0.00007815122,0.000006221583,0.00001649267,0.00522666],"genre_scores_gemma":[0.997568,0.0001222829,0.0004819099,0.0006117472,0.0001581213,0.000009793194,0.00003943194,0.000009418985,0.0009993075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1493475,"threshold_uncertainty_score":0.2393593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006325842239871999,"score_gpt":0.3220772147977138,"score_spread":0.3157513725578418,"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."}}