{"id":"W1991617824","doi":"10.1364/ol.29.000587","title":"Integrated endoscopy system for simultaneous imaging and spectroscopy for early lung cancer detection","year":2004,"lang":"en","type":"article","venue":"Optics Letters","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Optics; Autofluorescence; Spectroscopy; Medical imaging; White light; Endoscopy; Fluorescence spectroscopy; Imaging spectroscopy; Materials science; Biomedical engineering; Computer science; Physics; Medicine; Fluorescence; Artificial intelligence; Radiology","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":[0.00005003914,0.0001504747,0.0002142805,0.00005997419,0.0001046835,0.00005018193,0.00002936082,0.00003430139,0.000001696392],"category_scores_gemma":[0.00002585309,0.0001261778,0.00007119034,0.00006540652,0.00003212776,0.00004863811,0.000007071863,0.00006746309,8.783117e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032485,"about_ca_system_score_gemma":0.00005404253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000385209,"about_ca_topic_score_gemma":0.00005707498,"domain_scores_codex":[0.9992371,0.000005332972,0.0001544532,0.0002591982,0.00009161644,0.0002522553],"domain_scores_gemma":[0.9995413,0.0001101144,0.00006102303,0.0001254263,0.00007841187,0.00008372619],"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":[0.002215688,0.0002861276,0.03557882,0.003144875,0.001136725,0.0002210323,0.001295631,0.004464109,0.9398302,0.0006333463,0.0009201124,0.01027334],"study_design_scores_gemma":[0.01961427,0.001216002,0.001689289,0.002112203,0.002106356,0.0001129695,0.0004041362,0.05784847,0.9127825,0.00004821481,0.001553715,0.0005118374],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9196402,0.000686699,0.07268586,0.004735159,0.0005218554,0.001542378,0.00006038618,0.00008768104,0.00003974664],"genre_scores_gemma":[0.9763227,0.00008093999,0.02186133,0.0008179903,0.0002608206,0.0005799085,0.00001841155,0.00003787662,0.00002008628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05668241,"threshold_uncertainty_score":0.5145382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006455335548364603,"score_gpt":0.2733271429031539,"score_spread":0.2668718073547893,"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."}}