{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001764161,0.000278699,0.0001094264,0.0001494035,0.00008208432,0.0001384374,0.0001581582,0.0002847231,0.00133027],"category_scores_gemma":[0.0001106005,0.0001148353,0.0001492697,0.00008117955,0.0001644109,0.0001235401,0.00008536596,0.0002433108,0.0003665433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002302315,"about_ca_system_score_gemma":0.0001458955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008790474,"about_ca_topic_score_gemma":0.0008029898,"domain_scores_codex":[0.9999297,0.00002162555,0.000003795574,0.00001658851,0.00001374018,0.000014544],"domain_scores_gemma":[0.9999548,0.00001035025,0.00001391706,0.000006361043,0.00000821407,0.000006315503],"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":[0.00009806633,0.00001132835,0.00005656585,0.00002190003,0.000001252917,0.00002236857,0.000004372065,0.00006359239,0.9990722,0.0000427638,0.00005318433,0.0005524465],"study_design_scores_gemma":[0.00001539963,0.0003582152,0.001190015,0.00000349793,0.000007902095,0.0003088084,0.000005717943,0.0009008152,0.9960444,0.00001473296,0.001147716,0.000002724879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737563,0.002304006,0.0166974,0.0002988855,0.00005328939,0.00009346061,0.0002752632,0.0002498135,0.006271577],"genre_scores_gemma":[0.9805778,0.001400713,0.013298,0.000115927,0.00002396907,0.00009643436,0.0003787163,0.00004936582,0.004058976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00133027,"threshold_uncertainty_score":0.004450142,"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."}}