{"id":"W4220722301","doi":"10.5281/zenodo.6374073","title":"Antibody Characterization Report for Tuberin","year":2022,"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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Characterization (materials science); Antibody; Computational biology; Biology; Materials science; Immunology; Nanotechnology","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":[0.0006111093,0.001830229,0.0009844416,0.002159538,0.001028517,0.0008882119,0.001283012,0.0007395455,0.0220029],"category_scores_gemma":[0.001249556,0.000795653,0.001220617,0.001796765,0.0002753006,0.0007530769,0.0006605381,0.00178903,0.01995182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005527839,"about_ca_system_score_gemma":0.0009457952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001979715,"about_ca_topic_score_gemma":0.00254015,"domain_scores_codex":[0.999303,0.00008581181,0.0001074638,0.0002124292,0.0001408538,0.0001504765],"domain_scores_gemma":[0.9988147,0.0002629549,0.0001173523,0.0001787978,0.0004272871,0.0001988582],"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":[0.0002047768,0.00009737974,0.000237362,0.0004293355,0.00004488446,0.0003108159,0.0000792472,0.00007384545,0.9851298,0.0004851804,0.005189665,0.007717649],"study_design_scores_gemma":[0.0001612019,0.001063292,0.01454398,0.0001746758,0.0003893375,0.007700502,0.0002102401,0.001379663,0.5468802,0.0007435502,0.4266581,0.00009524679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3530414,0.03995642,0.4464135,0.003436174,0.003983782,0.004219486,0.08496806,0.005972003,0.05800912],"genre_scores_gemma":[0.2313778,0.02861277,0.1900779,0.002385023,0.001406966,0.003785228,0.4696007,0.001718007,0.07103559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0220029,"threshold_uncertainty_score":0.07360703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02166038959885333,"score_gpt":0.2732274400003587,"score_spread":0.2515670504015053,"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."}}