{"id":"W4414870593","doi":"10.1101/2025.10.03.680377","title":"RamanBot: Versatile high throughput Raman system","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Waterloo; University of Ottawa","funders":"","keywords":"Raman spectroscopy; SIGNAL (programming language); Multi-mode optical fiber; Throughput; Spectrometer; Laser; Sample (material); Spectroscopy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001015067,0.000773424,0.000707246,0.0009675901,0.000414188,0.0007750693,0.001948198,0.0009148495,0.008623506],"category_scores_gemma":[0.000681639,0.000711089,0.000398432,0.0004105739,0.0004783679,0.0009136386,0.001651142,0.0007174074,0.006472165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004536015,"about_ca_system_score_gemma":0.0004172273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003705644,"about_ca_topic_score_gemma":0.000376691,"domain_scores_codex":[0.9986344,0.0001658943,0.00004765364,0.0003817212,0.0006547695,0.0001156112],"domain_scores_gemma":[0.9995976,0.00009548364,0.00006036222,0.00009311374,0.000109046,0.00004440994],"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":[0.0005102585,0.0001187462,0.001051903,0.0003402555,0.00005929178,0.0003513967,0.0001553558,0.001980329,0.9091811,0.004582345,0.0176609,0.06400818],"study_design_scores_gemma":[0.0001625786,0.0006299266,0.002744284,0.00005820873,0.00004897774,0.001474238,0.00006925609,0.07652688,0.8148216,0.001527342,0.1017158,0.0002208896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1025055,0.001421167,0.7787364,0.0005161904,0.0004909451,0.0007491023,0.002698546,0.09905701,0.01382517],"genre_scores_gemma":[0.503467,0.0008779509,0.4626273,0.0007724914,0.0002749813,0.001563682,0.003725899,0.003209306,0.02348147],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008623506,"threshold_uncertainty_score":0.02884853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008632847450759045,"score_gpt":0.259857377008861,"score_spread":0.251224529558102,"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."}}