{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001703381,0.002536017,0.0008215464,0.001832083,0.001275661,0.000906472,0.001323928,0.001167986,0.01280243],"category_scores_gemma":[0.001878811,0.000900502,0.001043673,0.001124474,0.0005848235,0.0007100181,0.0008080751,0.002308343,0.01228054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001039966,"about_ca_system_score_gemma":0.0007780603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001342639,"about_ca_topic_score_gemma":0.003789252,"domain_scores_codex":[0.9987056,0.0001957426,0.0001732626,0.0002727374,0.0004489182,0.0002037538],"domain_scores_gemma":[0.9988334,0.0002456772,0.0001117079,0.0002208678,0.000461086,0.0001273467],"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":[0.00013345,0.00006121059,0.0004182671,0.0002196922,0.00003191682,0.0001168108,0.00006711118,0.00007443444,0.9898548,0.0004590352,0.00331488,0.005248392],"study_design_scores_gemma":[0.00007131304,0.0001682583,0.007424041,0.00006732352,0.00007016292,0.0009731895,0.00006570122,0.001458959,0.9327126,0.0003524161,0.05660151,0.00003464126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.469594,0.01083051,0.4268302,0.004783983,0.001878017,0.00398851,0.02771748,0.007990698,0.04638663],"genre_scores_gemma":[0.2432805,0.006628296,0.58864,0.001719105,0.0003845493,0.005931995,0.1033454,0.003795684,0.04627445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01280243,"threshold_uncertainty_score":0.04282838,"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."}}