{"id":"W4286851151","doi":"10.5281/zenodo.5717516","title":"Antibody screening by Immunoprecitation","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Antibody; Virology; Computational biology; Medicine; Biology; Immunology","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":[0.003424121,0.004789432,0.002539679,0.004510902,0.001468232,0.001195237,0.002368353,0.001462652,0.02343613],"category_scores_gemma":[0.003129221,0.001583833,0.002436576,0.002102205,0.001180002,0.0007792494,0.001911353,0.003020738,0.02383023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000573354,"about_ca_system_score_gemma":0.001202387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001156303,"about_ca_topic_score_gemma":0.001748985,"domain_scores_codex":[0.9937948,0.001592269,0.0006096276,0.001625055,0.001316321,0.0010619],"domain_scores_gemma":[0.9959049,0.0009336473,0.000225715,0.001364359,0.001293285,0.0002782757],"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":[0.0003703321,0.000176635,0.0005687821,0.0005279643,0.00009085952,0.0001746578,0.0001277757,0.0001852186,0.9745417,0.001230404,0.00425432,0.0177514],"study_design_scores_gemma":[0.0001592974,0.001126536,0.006431888,0.0001575103,0.0002815975,0.001426139,0.00007786416,0.004360612,0.8907221,0.0011995,0.09394722,0.0001096721],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09354578,0.00530391,0.8305884,0.0006269759,0.0008381107,0.008390432,0.007096868,0.01818541,0.03542408],"genre_scores_gemma":[0.1382413,0.008322333,0.7353061,0.001618617,0.000439511,0.01598277,0.04413354,0.004090976,0.05186475],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02343613,"threshold_uncertainty_score":0.07840168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03782852659395532,"score_gpt":0.3033158519571498,"score_spread":0.2654873253631945,"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."}}