{"id":"W4307221773","doi":"10.5281/zenodo.7249055","title":"Antibody Characterization Report for Apolipoprotein E","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Atherosclerosis and Cardiovascular Diseases","field":"Immunology and Microbiology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Antibody; Characterization (materials science); Medicine; 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":[0.002005274,0.002457447,0.001353508,0.003141396,0.001670817,0.001218964,0.001805123,0.001309603,0.04060598],"category_scores_gemma":[0.004141564,0.0011466,0.001152917,0.001711266,0.0004098608,0.0009888908,0.001170576,0.002810963,0.05787956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005215677,"about_ca_system_score_gemma":0.001574954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00126908,"about_ca_topic_score_gemma":0.001914597,"domain_scores_codex":[0.9980621,0.0003368721,0.0002973193,0.0004463992,0.0005707564,0.0002866208],"domain_scores_gemma":[0.9960558,0.0005412471,0.0001786735,0.00092488,0.001955274,0.0003440512],"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":[0.0005493034,0.0002909701,0.0006571399,0.001171862,0.000111079,0.0005029997,0.0002298418,0.0001884785,0.9118323,0.001853618,0.04621163,0.03640087],"study_design_scores_gemma":[0.0001800961,0.0005478155,0.003601224,0.0002630253,0.0002166831,0.002773205,0.0001135419,0.000920318,0.3067773,0.0009339038,0.6835719,0.0001011576],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.1124143,0.02632065,0.6525421,0.004386913,0.007676756,0.009390715,0.09793775,0.007170157,0.08216053],"genre_scores_gemma":[0.08899193,0.02753031,0.3200172,0.003450653,0.002137373,0.01054582,0.4140179,0.003658668,0.1296502],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.04060598,"threshold_uncertainty_score":0.1358406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02373443611079068,"score_gpt":0.2415636256022766,"score_spread":0.2178291894914859,"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."}}