{"id":"W2113879230","doi":"10.1016/j.neo.2014.12.009","title":"Detection of Non-Melanoma Skin Cancer by in vivo Fluorescence Imaging with Fluorocoxib A","year":2015,"lang":"en","type":"article","venue":"Neoplasia","topic":"Nonmelanoma Skin Cancer Studies","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Stanford Cancer Institute; National Institute of General Medical Sciences; National Cancer Institute; National Institutes of Health; CMC Microsystems; Damon Runyon Cancer Research Foundation","keywords":"In vivo; Melanoma; Skin cancer; Pathology; Preclinical imaging; Biopsy; Cancer; Medicine; Basal cell carcinoma; Fluorescence-lifetime imaging microscopy; Cancer research; Fluorescence; Biology; Internal medicine; Basal cell","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005582852,0.0004865412,0.000280188,0.0004695661,0.0001594816,0.0003492048,0.00032835,0.0007128188,0.000973145],"category_scores_gemma":[0.0002241166,0.000372119,0.0003564379,0.0002181709,0.0002918188,0.0002983701,0.0002023894,0.0007389132,0.0003002669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003719314,"about_ca_system_score_gemma":0.0001911718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001673515,"about_ca_topic_score_gemma":0.001817819,"domain_scores_codex":[0.9997366,0.00007492209,0.00001104686,0.00007632478,0.0000461774,0.00005490641],"domain_scores_gemma":[0.9996915,0.0001216127,0.00007811932,0.00003602642,0.00003753024,0.0000352411],"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":[0.00005005643,0.00002493745,0.0001624258,0.00002102627,0.000003719975,0.00001623889,0.000007807526,0.00005503987,0.9991664,0.00001723784,0.00001770141,0.0004575216],"study_design_scores_gemma":[0.000009316764,0.0004234379,0.003723705,0.00000502816,0.00001490569,0.000186149,0.00001496232,0.002542187,0.9925588,0.00002256682,0.0004927383,0.000006143416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684216,0.001945504,0.02712949,0.0001263763,0.0000272123,0.00008604755,0.0002291164,0.0002634944,0.001771189],"genre_scores_gemma":[0.9533902,0.003292101,0.03912951,0.0001636996,0.00002397841,0.0001754081,0.0003616299,0.00005520498,0.003408216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001673515,"threshold_uncertainty_score":0.003327549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008356634843245045,"score_gpt":0.2570226096073349,"score_spread":0.2486659747640898,"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."}}