{"id":"W1968511925","doi":"10.1021/ac801191x","title":"IR Spectral Imaging for Histopathological Characterization of Xenografted Human Colon Carcinomas","year":2008,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Cancer Research; Institut National Du Cancer","keywords":"Histology; Chemistry; Spectral imaging; Pathology; Characterization (materials science); Staining; Computational biology; Biology; Medicine; Optics; Materials science; Nanotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000124204,0.0001436628,0.0002140624,0.00002188334,0.00008843817,0.000006238144,0.0002529146,0.0001993319,0.0001283954],"category_scores_gemma":[0.0002026464,0.000130421,0.0001661989,0.0001189368,0.0005552229,0.000003060426,0.0001073355,0.0001488414,0.000001322395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004163057,"about_ca_system_score_gemma":0.00005673456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003859293,"about_ca_topic_score_gemma":1.857639e-7,"domain_scores_codex":[0.9987904,0.00001430417,0.0002860762,0.0003692658,0.0002125393,0.0003274599],"domain_scores_gemma":[0.9993609,0.00001883157,0.00006933031,0.0002722618,0.0001230383,0.000155655],"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":[0.00009823801,0.0001358451,0.007903788,0.00005358845,0.00001316497,0.00001328309,0.000005374796,5.981117e-8,0.9897413,0.00008154509,0.001891393,0.00006248364],"study_design_scores_gemma":[0.0003479245,0.0001528971,0.005698566,0.00001040101,0.00001739069,0.00004158715,0.000004686999,0.000190105,0.9817525,0.0001788631,0.01145349,0.0001516053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991785,0.00006050821,0.003218374,0.000190785,0.00001551439,0.0001288859,0.0000367365,0.0000293959,0.004534817],"genre_scores_gemma":[0.9958441,0.00004482995,0.0006871233,0.0001047601,0.0002502303,0.00003694194,0.000620582,0.00001654609,0.002394925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009562095,"threshold_uncertainty_score":0.5318413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01924854544821659,"score_gpt":0.3113617237919509,"score_spread":0.2921131783437343,"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."}}