{"id":"W6912920178","doi":"10.5281/zenodo.7459311","title":"Antibody Characterization Report for Pleiotrophin","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Proteoglycans and glycosaminoglycans research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Pleiotrophin; Antibody; Immunoprecipitation; Peptide mapping; Characterization (materials science)","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":[0.0008386828,0.001725409,0.0008858184,0.001940122,0.001261757,0.0009704937,0.001267733,0.0008627879,0.02099856],"category_scores_gemma":[0.001406622,0.0007007619,0.001043581,0.001433786,0.0003336539,0.0007314804,0.00076965,0.002399375,0.02307469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005875211,"about_ca_system_score_gemma":0.001309731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00121832,"about_ca_topic_score_gemma":0.001916908,"domain_scores_codex":[0.9991614,0.000104584,0.0001044762,0.0002143612,0.0002285775,0.0001866157],"domain_scores_gemma":[0.9986192,0.0003157294,0.0001039527,0.0002523608,0.0004787596,0.0002300179],"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":[0.0001733802,0.0000935779,0.0002063029,0.0002927165,0.00002551431,0.0002332265,0.00006969204,0.00007358293,0.9889928,0.0005788094,0.003298563,0.005961955],"study_design_scores_gemma":[0.0001632043,0.0007354425,0.009435056,0.0001559967,0.000181572,0.004588642,0.0001656072,0.001281177,0.5378523,0.0007992164,0.4445644,0.00007741069],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3008516,0.02830737,0.5240213,0.003924864,0.003651229,0.005314968,0.070855,0.003305342,0.05976835],"genre_scores_gemma":[0.2352652,0.03589085,0.2387857,0.00277017,0.001632646,0.006165328,0.3822905,0.001871694,0.09532788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02099856,"threshold_uncertainty_score":0.07024723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02187774099557891,"score_gpt":0.271761301856059,"score_spread":0.2498835608604801,"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."}}