{"id":"W6949598798","doi":"10.5281/zenodo.15625299","title":"A guide to selecting high-performing antibodies for CD44 (UniProt ID: P16070) for use in western blot, immunoprecipitation, immunofluorescence, and flow cytometry","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Traditional Chinese Medicine Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Flow cytometry; Antibody; CD44; Genome; Flow (mathematics); Protocol (science); Government (linguistics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005156193,0.004515158,0.003688505,0.008467426,0.003402032,0.002711555,0.005255999,0.002012494,0.1026629],"category_scores_gemma":[0.006338147,0.005684594,0.002445786,0.004858035,0.001151599,0.001960444,0.001984397,0.004997597,0.1458128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000901044,"about_ca_system_score_gemma":0.002442335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001845544,"about_ca_topic_score_gemma":0.00736026,"domain_scores_codex":[0.9961585,0.0009268377,0.0006487785,0.0005475737,0.001291786,0.0004265375],"domain_scores_gemma":[0.9946377,0.001535191,0.0002968442,0.00146598,0.001600345,0.0004638687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009435095,0.0006574157,0.001189385,0.002613906,0.0002025831,0.001091458,0.0003017472,0.0007117529,0.5377041,0.003500489,0.349986,0.1010978],"study_design_scores_gemma":[0.0003170173,0.0006161808,0.005466838,0.0004661668,0.0001762039,0.003878666,0.0001121498,0.001580368,0.1079211,0.002799232,0.8764553,0.0002108414],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01280702,0.01272831,0.742402,0.003226398,0.002152621,0.01216443,0.1169682,0.04862706,0.04892407],"genre_scores_gemma":[0.008253961,0.01131668,0.739407,0.001733451,0.0006675427,0.01673842,0.1660399,0.01119133,0.04465173],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1026629,"threshold_uncertainty_score":0.3434417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02516629617287727,"score_gpt":0.2952881116334545,"score_spread":0.2701218154605773,"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."}}