{"id":"W4293213712","doi":"10.12688/f1000research.124632.1","title":"Identification of highly specific antibodies for Serine/threonine-protein kinase TBK1 for use in immunoblot, immunoprecipitation and immunofluorescence","year":2022,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University; Structural Genomics Consortium; Montreal Neurological Institute and Hospital","funders":"Genentech; Janssen Biotech; Canadian Institutes of Health Research; Innovative Medicines Initiative; Mitacs; Motor Neurone Disease Association; Ontario Genomics Institute; Government of Canada; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Ontario Genomics; Genome Canada; ALS Society of Canada; Bayer; Bristol-Myers Squibb; Boehringer Ingelheim; Pfizer; ALS Association","keywords":"Immunoprecipitation; TANK-binding kinase 1; Immunofluorescence; Antibody; Amyotrophic lateral sclerosis; Serine; Kinase; Phosphorylation; Threonine; Biology; Protein kinase A; Molecular biology; Cell biology; Medicine; Immunology; Pathology; Mitogen-activated protein kinase kinase; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002167698,0.001954372,0.0008634939,0.00160253,0.0007506844,0.000923225,0.0009901645,0.001086222,0.006239104],"category_scores_gemma":[0.002116257,0.0007202059,0.0009074744,0.0009229058,0.0004043849,0.0007710297,0.0006762968,0.00207815,0.008145019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009043977,"about_ca_system_score_gemma":0.0006466259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006725325,"about_ca_topic_score_gemma":0.001444107,"domain_scores_codex":[0.9987245,0.0002600335,0.0002233198,0.0002386215,0.0003490534,0.0002043477],"domain_scores_gemma":[0.9987684,0.0002444311,0.0001335763,0.0001851274,0.0005523252,0.0001160622],"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":[0.00008545397,0.00004241974,0.0003252954,0.0003304142,0.00002050301,0.0001023314,0.00005632332,0.00006503607,0.9909594,0.0002667633,0.001226128,0.006519898],"study_design_scores_gemma":[0.00004203735,0.0001947277,0.005941773,0.00009654112,0.0001245508,0.001208781,0.00007111269,0.0009806264,0.9376785,0.0003105156,0.05332363,0.00002728224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3868006,0.03248353,0.5291222,0.002599962,0.001694368,0.002444402,0.01267238,0.003354838,0.02882771],"genre_scores_gemma":[0.2989925,0.02220234,0.5905827,0.001286514,0.0003897481,0.003279222,0.05095407,0.002492028,0.02982082],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006239104,"threshold_uncertainty_score":0.02087194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07519737860482563,"score_gpt":0.3640070072153768,"score_spread":0.2888096286105512,"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."}}