{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004874149,0.0003606119,0.0001668619,0.0009342136,0.0001442727,0.0002195815,0.0002141622,0.0002358528,0.001021625],"category_scores_gemma":[0.0003391107,0.000170283,0.0001551067,0.0002730729,0.0001966214,0.0003145849,0.0001439374,0.000383504,0.0003556535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001326075,"about_ca_system_score_gemma":0.0001378096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000359018,"about_ca_topic_score_gemma":0.0006722804,"domain_scores_codex":[0.9998473,0.00004137851,0.000008357426,0.00003508957,0.00004983477,0.00001802823],"domain_scores_gemma":[0.9997862,0.00006080211,0.00004131242,0.00003929095,0.0000512434,0.00002107076],"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":[0.00003706078,0.00001057067,0.0004130837,0.00001924423,0.000002165272,0.00001290403,0.000008733638,0.0001668388,0.9969722,0.00004237712,0.00001111573,0.002303616],"study_design_scores_gemma":[0.000005935109,0.0002489589,0.01968968,0.000007760496,0.0000203215,0.0004460949,0.00004971871,0.007212142,0.9707892,0.0001233594,0.001396181,0.00001066382],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8395089,0.001716441,0.1550185,0.00007413769,0.00002806536,0.000102559,0.0005259219,0.0005833557,0.002442148],"genre_scores_gemma":[0.8239221,0.001557944,0.171013,0.00004248826,0.00001908663,0.000114552,0.0008213934,0.0001249976,0.002384501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001021625,"threshold_uncertainty_score":0.003417671,"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."}}