{"id":"W4378775441","doi":"10.5281/zenodo.7987237","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); Characterization (materials science); Alpha chain; Antibody; Chemistry; Chain (unit); Computational biology; Cell biology; Biology; Biochemistry; Microtubule; Immunology; Nanotechnology; Physics; Mathematics; Materials science; Statistics","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":[0.0006698246,0.001414928,0.0006213268,0.001896527,0.0008953545,0.0007739103,0.001174925,0.0006651585,0.01846841],"category_scores_gemma":[0.001505887,0.000556214,0.0008282153,0.001311629,0.0002244213,0.00059029,0.0003884201,0.001275829,0.01582634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006266082,"about_ca_system_score_gemma":0.001131929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002866881,"about_ca_topic_score_gemma":0.004104776,"domain_scores_codex":[0.9993787,0.00007420944,0.0001029546,0.0001449403,0.0001691179,0.0001300924],"domain_scores_gemma":[0.9985604,0.0002663508,0.0001337065,0.0002016705,0.000679991,0.0001580332],"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":[0.0001525122,0.0001095573,0.0004267742,0.0003478961,0.00003432619,0.0002963077,0.0000571823,0.00007097041,0.983288,0.0004611525,0.00528045,0.009474896],"study_design_scores_gemma":[0.0001320333,0.0008556213,0.0156359,0.0001938659,0.0002662931,0.004501812,0.0001857447,0.001360218,0.6112748,0.0007170423,0.3648222,0.00005441629],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.3825788,0.04577367,0.4059161,0.004205402,0.004059052,0.00517243,0.07025178,0.003370629,0.07867213],"genre_scores_gemma":[0.2865571,0.04508226,0.2055051,0.002664994,0.00150439,0.00454184,0.352936,0.001141193,0.1000672],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01846841,"threshold_uncertainty_score":0.06178296,"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."}}