{"id":"W6913059882","doi":"10.5281/zenodo.7671688","title":"Antibody Characterization Report for PLC-gamma-2","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Antibody; Immunoprecipitation; Monoclonal antibody; Characterization (materials science); Antigen","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003012018,0.00008873139,0.00007424736,0.00008035704,0.0009329117,0.0001380841,0.0003013573,0.00007052036,0.0001186778],"category_scores_gemma":[0.0002886556,0.00009627669,0.00004686773,0.0002937185,0.00006510086,0.000009997888,0.0003822464,0.00005961923,0.0003983725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001912733,"about_ca_system_score_gemma":0.000002988939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001094008,"about_ca_topic_score_gemma":6.142405e-8,"domain_scores_codex":[0.9991201,0.0000400672,0.0001695189,0.0003463464,0.0001063238,0.0002176827],"domain_scores_gemma":[0.9990994,0.000004585476,0.00009073952,0.0003968279,0.0003430073,0.00006548458],"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":[0.00002416435,0.0000272687,0.000002895738,0.00001500792,0.00001132718,0.00000398721,0.00002986777,0.000008380527,0.9694809,0.0007496079,0.01216619,0.01748038],"study_design_scores_gemma":[0.0001604375,0.000123993,0.000561557,0.000007883197,0.000005579072,0.00009295822,0.00002702474,0.0002433286,0.04187033,0.000186153,0.9566057,0.0001150169],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.101573,0.00001523151,0.8856936,0.00140184,0.0001001916,0.0009194682,0.0005114653,0.001188169,0.008597049],"genre_scores_gemma":[0.5981151,0.0003172759,0.004610259,0.0002874855,0.0006287199,7.058936e-7,0.3891384,0.001530232,0.005371778],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9444395,"threshold_uncertainty_score":0.7175297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02869748552594384,"score_gpt":0.3033628516462308,"score_spread":0.274665366120287,"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."}}