{"id":"W4385270969","doi":"10.12688/f1000research.133479.2","title":"The identification of high-performing antibodies for Coiled-coil-helix-coiled-coil-helix domain containing protein 10 (CHCHD10) for use in Western Blot, immunoprecipitation and immunofluorescence","year":2023,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Genentech; Government of Canada; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Mitacs; Ontario Genomics; Genome Canada; Bayer; Motor Neurone Disease Association; Pfizer; Bristol-Myers Squibb","keywords":"Immunoprecipitation; Western blot; Antibody; Immunofluorescence; Coiled coil; Biology; Blot; Cell biology; Molecular biology; Gene; Genetics","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":[0.002669598,0.00211797,0.0007091755,0.00175669,0.0008955059,0.001051159,0.001105014,0.001335682,0.008614738],"category_scores_gemma":[0.003306969,0.0008359863,0.000856833,0.00100844,0.0006159396,0.0007140331,0.0008665749,0.001853745,0.008483282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015221,"about_ca_system_score_gemma":0.0008363648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223001,"about_ca_topic_score_gemma":0.003340571,"domain_scores_codex":[0.9980877,0.0004481991,0.0002534657,0.0004044397,0.0005312037,0.0002749765],"domain_scores_gemma":[0.9978585,0.0004931148,0.0001737975,0.0004114366,0.0008535114,0.0002096446],"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":[0.00007833612,0.00004125308,0.0004538416,0.0002626957,0.00001734888,0.0001020562,0.00005221526,0.00008175529,0.989028,0.0003924288,0.001868067,0.007622071],"study_design_scores_gemma":[0.00004955453,0.0002148531,0.008142482,0.0001347299,0.00008206919,0.001305909,0.00007807793,0.001259401,0.9263077,0.0004618816,0.06192312,0.000040204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3802378,0.01842628,0.5385988,0.003287707,0.002936345,0.00228604,0.0108526,0.005115592,0.03825891],"genre_scores_gemma":[0.2593953,0.008776966,0.661215,0.001618605,0.0003874855,0.00260412,0.02967522,0.001773366,0.03455399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008614738,"threshold_uncertainty_score":0.0288192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08249040749477722,"score_gpt":0.3702383076021669,"score_spread":0.2877479001073897,"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."}}