{"id":"W4226108838","doi":"10.5281/zenodo.5903719","title":"Antibody Characterization Report for Tubulin alpha-4A chain","year":2022,"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":"Tubulin; Alpha (finance); Antibody; Chemistry; Characterization (materials science); Computational biology; Molecular biology; Biology; Medicine; Cell biology; Immunology; Microtubule; Materials science; Nanotechnology","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":[0.0007374743,0.00169798,0.0006628092,0.002064503,0.0009057145,0.0007748419,0.001180081,0.0006661501,0.02020163],"category_scores_gemma":[0.001708314,0.0006242712,0.0009455542,0.00147611,0.0002307275,0.0007402389,0.0004101852,0.001429667,0.01704412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000574747,"about_ca_system_score_gemma":0.001103477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001834998,"about_ca_topic_score_gemma":0.002465453,"domain_scores_codex":[0.9992487,0.00008907236,0.0001314642,0.0001809649,0.000210434,0.0001392789],"domain_scores_gemma":[0.9983907,0.0003210971,0.0001687724,0.0002249652,0.0007447719,0.0001497486],"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":[0.0001833896,0.0001299752,0.0004369042,0.000452303,0.00004077943,0.0003104219,0.00005870199,0.00008180754,0.980323,0.0005065036,0.006150567,0.01132576],"study_design_scores_gemma":[0.0001236484,0.001016536,0.01145097,0.000218229,0.0002811094,0.004623539,0.0001508968,0.001291877,0.6221089,0.0006968976,0.35798,0.00005735355],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.3414895,0.04741413,0.4515516,0.00364955,0.004015286,0.005501163,0.07205985,0.004174931,0.07014408],"genre_scores_gemma":[0.2284683,0.04720049,0.2139571,0.002510574,0.00145553,0.005567124,0.416049,0.001322987,0.0834689],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02020163,"threshold_uncertainty_score":0.06758118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03790795581397699,"score_gpt":0.3010040018816072,"score_spread":0.2630960460676302,"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."}}