{"id":"W4412101406","doi":"10.1021/acsptsci.5c00178","title":"Development and Use of a Galectin-1-Specific Nanobody for Tumor Imaging and Elucidating the Role of Galectin-1 in Cancer","year":2025,"lang":"en","type":"article","venue":"ACS Pharmacology & Translational Science","topic":"Galectins and Cancer Biology","field":"Immunology and Microbiology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke; Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Québec Consortium for Drug Discovery; Canadian Institutes of Health Research; Fonds de Recherche du Québec - Santé; Canadian Glycomics Network; Arbour Foundation","keywords":"Galectin; Galectin-3; Cancer; Cancer research; Medicine; Immunology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001708931,0.0003034255,0.0001671708,0.0002379177,0.0001297905,0.0002489169,0.0002817887,0.0005329768,0.0008031976],"category_scores_gemma":[0.0001142771,0.0001400772,0.000234141,0.0001074201,0.0001784517,0.0002528129,0.0001890493,0.0004598024,0.0003091646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003663861,"about_ca_system_score_gemma":0.0001516206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003914868,"about_ca_topic_score_gemma":0.0004541185,"domain_scores_codex":[0.9999217,0.00001173096,0.000003934013,0.00002780752,0.0000181876,0.00001658716],"domain_scores_gemma":[0.9999495,0.00001102699,0.00001194262,0.000006398841,0.000009475065,0.00001173867],"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":[0.00001467145,0.000008313336,0.0000353451,0.00002065767,0.000001370605,0.00001400684,0.000006900797,0.00007551212,0.9982272,0.0001039361,0.00003477786,0.001457353],"study_design_scores_gemma":[0.00000513518,0.00005665647,0.0003266006,0.000002685073,0.000003004015,0.00008757961,0.000005642194,0.00145208,0.9964796,0.00003789242,0.001540357,0.000002865931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8837153,0.002257908,0.1078471,0.0006728835,0.00006790816,0.000219537,0.000409235,0.0004508346,0.004359306],"genre_scores_gemma":[0.9313089,0.001507974,0.06183097,0.0002916204,0.00001686301,0.0001955935,0.0004770871,0.00007247079,0.004298495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008031976,"threshold_uncertainty_score":0.002686977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913957738633401,"score_gpt":0.3078637543467579,"score_spread":0.2887241769604239,"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."}}