{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001831109,0.001869642,0.0006806504,0.00196925,0.0008929341,0.001106108,0.001049307,0.00100052,0.007155922],"category_scores_gemma":[0.001770435,0.0007296629,0.0008401233,0.0009746848,0.0004925801,0.0006562043,0.001045788,0.00150216,0.006974507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008885734,"about_ca_system_score_gemma":0.0005707853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009038149,"about_ca_topic_score_gemma":0.001803195,"domain_scores_codex":[0.9986869,0.0002803596,0.0001847829,0.0002769934,0.0003801282,0.0001908596],"domain_scores_gemma":[0.9988772,0.0001850642,0.00009902316,0.0002712356,0.000442265,0.0001251636],"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":[0.00008320692,0.00004580771,0.0004480217,0.0001343201,0.00001934053,0.00005167632,0.00003480356,0.00005721144,0.9923128,0.0003669339,0.0009866476,0.005459263],"study_design_scores_gemma":[0.0000352187,0.0001369026,0.006808786,0.00005629736,0.00005744469,0.0006053924,0.00004706486,0.001107957,0.9520121,0.0003002653,0.03880881,0.00002383321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4868469,0.01129879,0.4549154,0.002277615,0.001172355,0.001693517,0.008944443,0.004176044,0.02867499],"genre_scores_gemma":[0.3433334,0.006460193,0.5737104,0.001283444,0.0002707729,0.002714943,0.03357744,0.002072891,0.03657655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007155922,"threshold_uncertainty_score":0.02393895,"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."}}