{"id":"W1970126193","doi":"10.1117/12.2077268","title":"Confocal fluorescence microscopy for detection of cervical preneoplastic lesions","year":2015,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Confocal; Cervical intraepithelial neoplasia; Confocal microscopy; Pathology; Biopsy; Microscopy; Fluorescence microscope; Medicine; Fluorescence; Nuclear medicine; Biology; Cervical cancer; Optics; Cancer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005572237,0.0003601462,0.0002082245,0.0005078001,0.0003476375,0.0002278299,0.0004085382,0.0004253502,0.001691078],"category_scores_gemma":[0.0006216754,0.0002379472,0.000163788,0.0001934257,0.0002551516,0.0004207731,0.0002577917,0.0003861416,0.0004489025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000536308,"about_ca_system_score_gemma":0.0003535918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002145982,"about_ca_topic_score_gemma":0.002780445,"domain_scores_codex":[0.9997439,0.00005629423,0.00001680384,0.00007871669,0.00007258212,0.00003166152],"domain_scores_gemma":[0.9996554,0.0001064088,0.00003227017,0.00006093892,0.0001178164,0.00002713283],"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":[0.00004513371,0.00001617474,0.001153904,0.00005029237,0.000005177002,0.00005645154,0.00003433543,0.000224137,0.9930599,0.0002652342,0.00008501788,0.005004354],"study_design_scores_gemma":[0.00001176145,0.0003341136,0.01679051,0.00001673365,0.00002739881,0.001740302,0.00007019054,0.01308259,0.962575,0.0002631946,0.005057246,0.00003100476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7881753,0.003176674,0.1994863,0.0002549288,0.00004493054,0.0002045188,0.0008285255,0.0007337375,0.007095044],"genre_scores_gemma":[0.7373556,0.002039755,0.2567359,0.00008936614,0.00002203789,0.0002246422,0.000736603,0.00007366687,0.002722318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002145982,"threshold_uncertainty_score":0.005657196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02498908103374792,"score_gpt":0.2906319459504965,"score_spread":0.2656428649167485,"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."}}