{"id":"W4387397748","doi":"10.12688/f1000research.141800.1","title":"Identification of high-performing antibodies for SPARC-related modular calcium-binding protein 1 (SMOC-1) for use in Western Blot and immunoprecipitation","year":2023,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Bone and Dental Protein Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute on Aging; Canadian Institutes of Health Research; Government of Canada; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Mitacs; Ontario Genomics; Genome Canada; Genentech; Bayer; Pfizer; Bristol-Myers Squibb","keywords":"Immunoprecipitation; Open peer review; Western blot; Identification (biology); Plant biology; Calcium-binding protein; Antibody; Computational biology; Medicine; Biology; Molecular biology; Cell biology; Calcium; Biochemistry; Immunology; Internal medicine; Botany; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001787115,0.0002527963,0.000693144,0.0007582902,0.0001719078,0.00009909699,0.0001642367,0.0003240742,0.000004060168],"category_scores_gemma":[0.00109087,0.000244616,0.0001322086,0.0002666157,0.0002063286,0.0001971676,0.0005925977,0.0005149612,0.00001065213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001532058,"about_ca_system_score_gemma":0.0001255605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001426478,"about_ca_topic_score_gemma":0.0001903548,"domain_scores_codex":[0.9974222,0.00008906944,0.0008973429,0.0006226595,0.0005286738,0.0004400732],"domain_scores_gemma":[0.9982248,0.0004408009,0.0002849824,0.0004433256,0.0005368324,0.00006925835],"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":[0.002376812,0.0003608114,0.06568393,0.01360032,0.0007406602,0.00002512849,0.002854672,0.0002726507,0.9061716,0.0006081769,0.0002983353,0.007006918],"study_design_scores_gemma":[0.007379106,0.001133767,0.4271372,0.007104342,0.000335645,0.00001146735,0.001919955,0.02080604,0.5208715,0.01246854,0.000122022,0.0007104336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872262,0.0007283182,0.002270393,0.0005268665,0.0002128267,0.008678983,0.0002752431,0.00007398763,0.000007222165],"genre_scores_gemma":[0.9868909,0.0003273621,0.002595573,0.000004513388,0.00007409327,0.002693232,0.0005990279,0.0000903276,0.006725014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3853001,"threshold_uncertainty_score":0.9975152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1343918539269302,"score_gpt":0.3943319805729445,"score_spread":0.2599401266460143,"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."}}