{"id":"W2088397949","doi":"10.1142/s1793545808000054","title":"RAMAN SPECTROSCOPY FOR <i>IN VIVO</i> TISSUE ANALYSIS AND DIAGNOSIS, FROM INSTRUMENT DEVELOPMENT TO CLINICAL APPLICATIONS","year":2008,"lang":"en","type":"article","venue":"Journal of Innovative Optical Health Sciences","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health Research Institute; University of British Columbia; Vancouver Coastal Health","funders":"","keywords":"Raman spectroscopy; Materials science; Raman scattering; Spectrograph; In vivo; Optical fiber; Near-infrared spectroscopy; Optics; Spectroscopy; Laser; Biomedical engineering; Spectral line; Medicine","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":[0.001407169,0.00009583036,0.0003202915,0.0002075741,0.0001517054,0.00001831408,0.0002944325,0.00008239035,0.00001937864],"category_scores_gemma":[0.000375441,0.00007083438,0.00004790103,0.001329052,0.0005531331,0.000007262531,0.0001123037,0.0001753571,8.317532e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006373619,"about_ca_system_score_gemma":0.0005398628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000196054,"about_ca_topic_score_gemma":0.00002271917,"domain_scores_codex":[0.9982124,0.00004239997,0.0007856594,0.0003015312,0.0003560401,0.0003019815],"domain_scores_gemma":[0.9990065,0.0001781747,0.0001923849,0.00009872593,0.0002420613,0.0002822087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006550878,0.001641787,0.5793849,0.00006588335,0.0003535259,0.00001289275,0.0002766949,0.000005683604,0.3172966,0.002138487,0.0174642,0.08070427],"study_design_scores_gemma":[0.0004338209,0.00268794,0.03560127,0.0000406427,0.000007555299,0.000007942668,0.00006514671,0.000009415457,0.891367,0.0005789096,0.06907233,0.0001279782],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8725298,0.0003128389,0.1224197,0.00411938,0.00004645176,0.0003458575,0.00001690571,0.000002953866,0.0002060876],"genre_scores_gemma":[0.6140388,0.001064657,0.3829567,0.001590584,0.0002095131,0.00009975919,0.00000900737,0.000004442526,0.00002649222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5740705,"threshold_uncertainty_score":0.2888542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04906811293157411,"score_gpt":0.4498055446529178,"score_spread":0.4007374317213437,"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."}}