{"id":"W4307221804","doi":"10.5281/zenodo.7249120","title":"Antibody Characterization Report for Serine protease HTRA1","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cerebrovascular and genetic disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Serine protease; MASP1; Serine; Antibody; Chemistry; Characterization (materials science); Protease; Biochemistry; Biology; Enzyme; Immunology; Materials science; 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":[0.0009345204,0.002787835,0.001332043,0.002190702,0.001055539,0.0009672113,0.001842453,0.001025536,0.02006122],"category_scores_gemma":[0.001686684,0.001051501,0.001728455,0.001731812,0.0003044577,0.001072427,0.000568584,0.002166623,0.02048407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006014577,"about_ca_system_score_gemma":0.0009414097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001380221,"about_ca_topic_score_gemma":0.001681096,"domain_scores_codex":[0.998786,0.0001693712,0.0002228013,0.0003195651,0.0002494398,0.0002528139],"domain_scores_gemma":[0.9981609,0.0004793212,0.0001892094,0.0003111375,0.0006665764,0.0001929002],"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":[0.0003667895,0.0001525942,0.0003071891,0.0007926716,0.00007263583,0.0003627178,0.00007736684,0.00007905658,0.9842008,0.0005319523,0.00475321,0.008303029],"study_design_scores_gemma":[0.0002031717,0.001222951,0.009591309,0.0002317927,0.0004292396,0.007864662,0.0001393267,0.001281259,0.6942167,0.000585118,0.284148,0.00008643801],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.3099278,0.0874924,0.4750635,0.004013906,0.005583342,0.004764627,0.06647552,0.005043225,0.04163567],"genre_scores_gemma":[0.2035498,0.07573347,0.2409657,0.002309533,0.002087449,0.005035089,0.4080784,0.001438162,0.06080248],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02006122,"threshold_uncertainty_score":0.06711149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02295356070680455,"score_gpt":0.2699154229826083,"score_spread":0.2469618622758038,"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."}}