{"id":"W1992937741","doi":"10.1142/s1793545809000759","title":"<i>IN VIVO</i> NEAR-INFRARED FLUORESCENCE IMAGING OF HUMAN COLON ADENOCARCINOMA BY SPECIFIC IMMUNOTARGETING OF A TUMOR-ASSOCIATED MUCIN","year":2009,"lang":"en","type":"article","venue":"Journal of Innovative Optical Health Sciences","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto; University Health Network; Toronto General Hospital; Princess Margaret Cancer Centre; Ontario Institute for Cancer Research","funders":"","keywords":"Autofluorescence; In vivo; Ex vivo; Pathology; Fluorescence microscope; Adenocarcinoma; Fluorescence-lifetime imaging microscopy; Fluorescence; Chemistry; Medicine; Cancer; Biology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001386304,0.0001041653,0.0003209676,0.0001295741,0.0001294001,0.00002384573,0.0002845999,0.00003228958,0.00001476065],"category_scores_gemma":[0.0002337878,0.00008441516,0.00005632512,0.0009233708,0.0004924489,0.00002603452,0.000043364,0.0001795046,2.45592e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009716632,"about_ca_system_score_gemma":0.0006035717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00012832,"about_ca_topic_score_gemma":0.00001189683,"domain_scores_codex":[0.9981536,0.0001008661,0.0007651491,0.0001875927,0.000433079,0.0003596983],"domain_scores_gemma":[0.9985687,0.00003912168,0.0006948698,0.0000950481,0.0005073188,0.00009491621],"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":[0.0002418013,0.0004069291,0.05948685,0.0000213064,0.00001804803,0.00001972889,0.0001653956,0.000005704274,0.9348688,0.0002782293,0.003264936,0.001222277],"study_design_scores_gemma":[0.002013543,0.007668072,0.1098425,0.0003494408,0.000002987965,0.00003260891,0.0004695433,0.00006061104,0.8786035,0.0005310849,0.0002831576,0.0001429443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955962,0.002919549,0.00003588583,0.0008373036,0.0000482604,0.0001300849,0.00001884681,0.0000011239,0.0004128001],"genre_scores_gemma":[0.9973401,0.0001536732,0.002195194,0.0002505933,0.0000323342,0.000001167778,0.000003594421,0.0000040225,0.00001929328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05626526,"threshold_uncertainty_score":0.344235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01615474219571928,"score_gpt":0.3376613439944388,"score_spread":0.3215066017987195,"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."}}