{"id":"W2995767122","doi":"10.2147/ott.s235811","title":"&lt;p&gt;Impact of Fucosylation on Self-Assembly of Prostate and Breast Tumor Spheroids by Using Cyclo-RGDfK(TPP) Peptide and Image Object Detection&lt;/p&gt;","year":2019,"lang":"en","type":"article","venue":"OncoTargets and Therapy","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University; Russian Foundation for Basic Research","keywords":"Fucosylation; Prostate; Medicine; Breast tumor; Peptide; Spheroid; Internal medicine; Chemistry; Biochemistry; Glycoprotein; Breast cancer; Cancer","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002363221,0.0001968214,0.0002527103,0.00007164437,0.00008267105,0.0000369853,0.00005971657,0.00009885772,0.00002847416],"category_scores_gemma":[0.00001416584,0.0001581104,0.00007094422,0.0001030608,0.00007943417,0.00002203788,0.00004235544,0.00008272968,0.000001563434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002221089,"about_ca_system_score_gemma":0.00006933475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009318952,"about_ca_topic_score_gemma":0.00003431121,"domain_scores_codex":[0.9989322,0.00008497086,0.0002328991,0.0003362086,0.0001893983,0.0002242735],"domain_scores_gemma":[0.9993716,0.00001995198,0.0001576296,0.0002046241,0.0001436004,0.0001025973],"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":[0.0006542545,0.000111519,0.01366601,0.0000456853,0.00008971501,0.000001195402,0.0001023418,0.00001755528,0.9763865,0.00001634787,0.00006572071,0.008843163],"study_design_scores_gemma":[0.003665849,0.003275598,0.1114421,0.00005744774,0.00001629818,0.00007686458,0.00003832913,0.002881985,0.8734016,0.00009343544,0.004713736,0.0003367693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964527,0.002118346,0.00007717178,0.0000277718,0.00003097279,0.0004734036,0.00007856314,0.000009764382,0.0007313213],"genre_scores_gemma":[0.9978409,0.001454627,0.0003981487,0.00002289519,0.00004052124,0.000008026636,0.00003177552,0.00002797647,0.0001750898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1029849,"threshold_uncertainty_score":0.6447556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005540476564820925,"score_gpt":0.2582377062006838,"score_spread":0.2526972296358628,"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."}}