{"id":"W4385237942","doi":"10.12688/f1000research.139755.1","title":"The identification of high-performing antibodies for Charged multivesicular body protein 2b for use in Western Blot, immunoprecipitation and immunofluorescence","year":2023,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Galectins and Cancer Biology","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; McGill University; Montreal Neurological Institute and Hospital","funders":"Genentech; Canadian Institutes of Health Research; Innovative Medicines Initiative; Mitacs; Motor Neurone Disease Association; Government of Canada; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Bayer; ALS Society of Canada; Ontario Genomics; Genome Canada; Bristol-Myers Squibb; Pfizer; ALS Association","keywords":"Immunoprecipitation; Western blot; Immunofluorescence; Identification (biology); Antibody; Open peer review; Plant biology; Biology; Cell biology; Virology; Immunology; Biochemistry; Botany","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":[0.002197516,0.0002183667,0.0004102306,0.0002685886,0.0004011995,0.00008567874,0.0004851638,0.000430847,0.000004318983],"category_scores_gemma":[0.0009600445,0.0001721668,0.000107627,0.0001329463,0.0004802857,0.00009999232,0.0004655023,0.0005474951,0.000009655887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007957107,"about_ca_system_score_gemma":0.0001451561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001904915,"about_ca_topic_score_gemma":0.0005292364,"domain_scores_codex":[0.9977671,0.0003677701,0.0007082588,0.0005677399,0.00007696869,0.0005121559],"domain_scores_gemma":[0.9975606,0.001113277,0.0003546729,0.0004989495,0.0004586415,0.00001390139],"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":[0.00115247,0.00007081225,0.0125675,0.0004848955,0.0002275248,4.795004e-7,0.000891896,0.00001853993,0.9770504,0.0004810277,0.0001770722,0.00687739],"study_design_scores_gemma":[0.001994319,0.0004224475,0.3852436,0.0004381422,0.00004113689,0.0000029524,0.0006539354,0.0004554602,0.6066545,0.002064215,0.001754174,0.0002750814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883533,0.004392186,0.001345014,0.0003768268,0.0006586548,0.004472241,0.0003619096,0.00003854797,0.000001389677],"genre_scores_gemma":[0.9896389,0.00185425,0.0003516683,0.000004634057,0.00004352413,0.003652102,0.0007215426,0.00004552372,0.003687911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3726761,"threshold_uncertainty_score":0.7020757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05224143441003867,"score_gpt":0.3406421166978915,"score_spread":0.2884006822878528,"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."}}