{"id":"W4400974993","doi":"10.1371/journal.pone.0305254","title":"Chassis-based fiber-coupled optical probe design for reproducible quantitative diffuse optical spectroscopy measurements","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Heart, Lung, and Blood Institute; National Institute of Biomedical Imaging and Bioengineering; University of Pennsylvania; National Institutes of Health; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Children's Hospital of Philadelphia; National Institute of Neurological Disorders and Stroke; American Heart Association","keywords":"Chassis; Reproducibility; Biomedical engineering; Materials science; Optical fiber; Computer science; Optics; Medicine; Chemistry; Physics; Mechanical engineering; Chromatography; Engineering","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":[0.001373597,0.0006498759,0.0003139497,0.0004751984,0.0001817803,0.0004926712,0.000829311,0.0009285175,0.0006244644],"category_scores_gemma":[0.002105107,0.0004221126,0.0003431022,0.0002843083,0.0006029225,0.000464926,0.0004866465,0.0004789015,0.0003596915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006508296,"about_ca_system_score_gemma":0.0007410972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008773488,"about_ca_topic_score_gemma":0.001794361,"domain_scores_codex":[0.9987358,0.000227165,0.00007827079,0.0004101857,0.0004913445,0.00005725245],"domain_scores_gemma":[0.9979277,0.000473797,0.0006762752,0.000234841,0.0005895133,0.00009794175],"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":[0.00005783478,0.00003628117,0.0004234882,0.00007884237,0.000008315839,0.00004423665,0.00005113061,0.001202445,0.9888024,0.0002811666,0.0001549628,0.008858782],"study_design_scores_gemma":[0.00004026154,0.001250278,0.00730562,0.00001724018,0.00003711969,0.0003452379,0.00003781965,0.03133948,0.9522735,0.000227855,0.007053786,0.00007164887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2939111,0.0005851856,0.7009392,0.0002323815,0.0001571959,0.0007503599,0.0003188804,0.001299009,0.001806713],"genre_scores_gemma":[0.5185933,0.000320469,0.4774524,0.0002059522,0.00004676528,0.001126898,0.0002993199,0.000105472,0.001849291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001373597,"threshold_uncertainty_score":0.007264376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1748513578114654,"score_gpt":0.3636173181044552,"score_spread":0.1887659602929898,"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."}}