{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001040715,0.0005884205,0.0009958755,0.0008307354,0.0004337076,0.0005596896,0.00129654,0.001175124,0.003640936],"category_scores_gemma":[0.0008463939,0.0006121441,0.0005211214,0.0005073214,0.0002836699,0.0007559479,0.0008945291,0.0009088906,0.001090645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006160485,"about_ca_system_score_gemma":0.001154474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000868472,"about_ca_topic_score_gemma":0.001405463,"domain_scores_codex":[0.9990578,0.0001303171,0.00004193974,0.0002185654,0.0004551299,0.00009612976],"domain_scores_gemma":[0.9993618,0.0001262105,0.00005644352,0.00007897643,0.0002612774,0.0001152817],"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":[0.0006650056,0.0002607089,0.002334404,0.0001842734,0.00008627913,0.0002522392,0.00005601396,0.0006000432,0.9037985,0.001166277,0.002383105,0.0882131],"study_design_scores_gemma":[0.0005634645,0.006132993,0.0294787,0.00008307354,0.0007755754,0.01033755,0.0000526009,0.07340764,0.8306088,0.0006960958,0.04753066,0.0003327483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1252992,0.002740461,0.8619671,0.0003428248,0.0003505171,0.0005216041,0.0003903793,0.005719547,0.00266834],"genre_scores_gemma":[0.3519885,0.001134547,0.6387472,0.0004019938,0.0001547921,0.0005316591,0.0006667323,0.000130919,0.006243645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003640936,"threshold_uncertainty_score":0.01218021,"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."}}