{"id":"W175665316","doi":"","title":"Molecular imaging of CEACAM6 using antibody probes of different sizes","year":2011,"lang":"en","type":"article","venue":"","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Biological Sciences","funders":"","keywords":"DOTA; Immunostaining; Biodistribution; Ex vivo; In vivo; Antibody; Single-domain antibody; Chemistry; Pancreatic cancer; Molecular biology; Antigen; Immunohistochemistry; Monoclonal antibody; Cancer research; In vitro; Cancer; Pathology; Medicine; Biology; Immunology; Internal medicine; Biochemistry","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":[0.0003819147,0.0005514575,0.0003596775,0.0002991674,0.0001547901,0.000453896,0.0003246726,0.001045754,0.001780585],"category_scores_gemma":[0.000246908,0.00030607,0.0005344093,0.0002778831,0.0002065906,0.0005117903,0.0002419044,0.0007088126,0.0007427247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004761581,"about_ca_system_score_gemma":0.0001975742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003649836,"about_ca_topic_score_gemma":0.0004168621,"domain_scores_codex":[0.9997599,0.0000473504,0.0000122587,0.00007120566,0.0000533495,0.00005598129],"domain_scores_gemma":[0.9998807,0.00003279437,0.00002821807,0.00000980808,0.00002310754,0.00002535117],"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":[0.00004775582,0.00001230829,0.00006606281,0.00004678487,0.000006311808,0.00002221551,0.000006750839,0.00007362975,0.9982059,0.000103903,0.00003455458,0.001373856],"study_design_scores_gemma":[0.00002187475,0.0002822709,0.001359809,0.000008026576,0.00002344395,0.000319713,0.000010135,0.002802351,0.9924104,0.00005422315,0.002697235,0.00001044868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9416535,0.007471231,0.04527285,0.0003805024,0.00007973505,0.00009949446,0.0002572382,0.0003470226,0.004438532],"genre_scores_gemma":[0.8864899,0.005065722,0.1006607,0.0004024871,0.00003477047,0.0002736618,0.0005974868,0.0001028001,0.006372225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001780585,"threshold_uncertainty_score":0.005956709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04966525640173109,"score_gpt":0.354609619360504,"score_spread":0.3049443629587729,"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."}}