{"id":"W3209395822","doi":"10.5281/zenodo.4730966","title":"Antibody Characterization Report for CD44 antigen","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Antibody; Antigen; Immunology; Computational biology; Medicine; Biology","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":[0.0005917834,0.001575718,0.0006992092,0.001948766,0.0009239435,0.0006735168,0.001323351,0.0007918782,0.03346346],"category_scores_gemma":[0.001195547,0.0006258147,0.00109332,0.001570685,0.0002142656,0.0009296395,0.0005408085,0.001328275,0.02372562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004632257,"about_ca_system_score_gemma":0.001002112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001474445,"about_ca_topic_score_gemma":0.001826293,"domain_scores_codex":[0.9992781,0.00008996799,0.0001120851,0.0001867916,0.000166314,0.0001666815],"domain_scores_gemma":[0.9988989,0.0002334848,0.0000807503,0.0002043808,0.0004578917,0.0001247082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002359252,0.0001899114,0.0003795551,0.0007213112,0.00004518236,0.0003206833,0.00005763276,0.00008279038,0.9616924,0.001096549,0.0126487,0.02252937],"study_design_scores_gemma":[0.00009632164,0.0008341474,0.007909537,0.0001340442,0.0002348311,0.004910273,0.00009036921,0.0008831914,0.5334424,0.0008599156,0.450547,0.00005789037],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.3224396,0.05880655,0.4557284,0.004006507,0.00543352,0.004509167,0.06051221,0.00647118,0.08209278],"genre_scores_gemma":[0.2245073,0.06239809,0.2358018,0.003248559,0.002071916,0.004917908,0.3567946,0.001383053,0.1088768],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.03346346,"threshold_uncertainty_score":0.1119464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02470345413855172,"score_gpt":0.2845131552876348,"score_spread":0.2598097011490831,"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."}}