{"id":"W1947476021","doi":"10.1039/c5an01080b","title":"Accurate assessment of liver steatosis in animal models using a high throughput Raman fiber optic probe","year":2015,"lang":"en","type":"article","venue":"The Analyst","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Vancouver Biotech (Canada); Queen Elizabeth II Health Sciences Centre; BC Cancer Agency; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Astellas Pharma; Dalhousie University","keywords":"Throughput; Steatosis; Raman spectroscopy; Fiber; Optical fiber; Materials science; Computer science; Biomedical engineering; Medicine; Internal medicine; Optics; Physics; Telecommunications; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004257917,0.000101786,0.0001694975,0.00004059453,0.00002606754,0.00001512144,0.0003294002,0.0001063635,0.00004215386],"category_scores_gemma":[0.00003632788,0.00006645931,0.0000669509,0.0002294328,0.0001794357,0.000006124741,0.00027962,0.0001410168,0.000001642119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005538522,"about_ca_system_score_gemma":0.000124796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003371323,"about_ca_topic_score_gemma":0.00001587915,"domain_scores_codex":[0.9989801,0.0000811299,0.0002111307,0.0002181406,0.000286146,0.0002233338],"domain_scores_gemma":[0.9994107,0.00001639968,0.00006558853,0.0003349112,0.00009429721,0.00007806772],"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":[0.0001529433,0.0002112191,0.0008309605,0.00003664995,0.0001123737,0.00001093872,0.00006546729,0.0006416912,0.9947292,0.001920615,0.001050103,0.0002378679],"study_design_scores_gemma":[0.0009844165,0.0009268079,0.001147156,0.00009214805,0.0001127611,0.0000187212,0.000163301,0.1098325,0.8795426,0.004847802,0.001989241,0.000342555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868352,0.0003076048,0.009987554,0.0001850459,0.000009622419,0.0001634216,0.000007392969,0.000007768381,0.002496328],"genre_scores_gemma":[0.9877002,0.0001001436,0.01180336,0.00005596532,0.00006092466,0.00001816966,0.00002231001,0.000009183968,0.0002297652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1151866,"threshold_uncertainty_score":0.2710132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06331605805358984,"score_gpt":0.3824250223841537,"score_spread":0.3191089643305639,"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."}}