{"id":"W4287195911","doi":"10.5281/zenodo.4730992","title":"Antibody Characterization Report for Optineurin","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Optineurin; Antibody; Virology; Characterization (materials science); Computational biology; Medicine; Immunology; Biology; Internal medicine; Amyotrophic lateral sclerosis; Nanotechnology; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007005222,0.001378286,0.0005755013,0.001268395,0.0008509682,0.0007785848,0.001153072,0.000670841,0.01525646],"category_scores_gemma":[0.00113527,0.0004740841,0.000801186,0.001028323,0.0002444499,0.0005996133,0.0004232117,0.001215836,0.01198775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006378012,"about_ca_system_score_gemma":0.00111008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001853635,"about_ca_topic_score_gemma":0.00312825,"domain_scores_codex":[0.9993106,0.00007716669,0.0001074075,0.0001809687,0.0002032984,0.000120504],"domain_scores_gemma":[0.9988976,0.0001951822,0.0001205337,0.0002122031,0.0004487493,0.0001256735],"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":[0.0001434735,0.00006492291,0.0002836674,0.0003237718,0.00002628462,0.0002272482,0.00005490638,0.0000989121,0.9847118,0.0005702702,0.003761145,0.009733563],"study_design_scores_gemma":[0.00005862406,0.0004153615,0.006516717,0.00009523449,0.0001045699,0.002722347,0.00007363195,0.0007925275,0.7250603,0.00037937,0.263744,0.00003738003],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.3143232,0.03635258,0.5004447,0.004272986,0.003562177,0.004038401,0.06669787,0.0036808,0.06662726],"genre_scores_gemma":[0.2948452,0.03608618,0.2456118,0.002675992,0.00124472,0.004057153,0.3029791,0.001363129,0.1111368],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01525646,"threshold_uncertainty_score":0.05103797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04496103315219967,"score_gpt":0.3142699355380957,"score_spread":0.2693089023858961,"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."}}