{"id":"W4226376340","doi":"10.5281/zenodo.5717510","title":"Antibody Screening by Immunoblot","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Antibody; Medicine; Virology; 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":[0.005876713,0.008638888,0.005340071,0.007663695,0.00238125,0.002288673,0.004230772,0.002106159,0.04769747],"category_scores_gemma":[0.004325388,0.002360644,0.003317757,0.004557678,0.001739373,0.00173114,0.002364553,0.006842874,0.03476506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008174318,"about_ca_system_score_gemma":0.001606886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001056175,"about_ca_topic_score_gemma":0.001536268,"domain_scores_codex":[0.9900247,0.002585473,0.001306445,0.002805621,0.001791448,0.001486282],"domain_scores_gemma":[0.992749,0.00200532,0.0003807005,0.002046132,0.002428858,0.0003898574],"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":[0.0009207077,0.0005953695,0.000687125,0.001935768,0.0002317498,0.0004171023,0.0003509265,0.0003827874,0.9598388,0.002951972,0.01296701,0.01872067],"study_design_scores_gemma":[0.0004452625,0.001762639,0.008378028,0.0006532965,0.0007625546,0.002211075,0.0002260945,0.005626556,0.7070962,0.003430526,0.2691476,0.0002601771],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06589752,0.008912724,0.8021648,0.001461508,0.001965045,0.01272334,0.0220406,0.02846501,0.05636942],"genre_scores_gemma":[0.06902193,0.01402267,0.6994857,0.001685368,0.001075644,0.02571697,0.1141164,0.008084749,0.06679051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04769747,"threshold_uncertainty_score":0.1595639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03829209722613548,"score_gpt":0.3002700673304533,"score_spread":0.2619779701043178,"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."}}