{"id":"W4390977381","doi":"10.1152/ajprenal.00347.2023","title":"Guidelines on antibody use in physiology research","year":2024,"lang":"en","type":"article","venue":"American Journal of Physiology-Renal Physiology","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint John Regional Hospital; Dalhousie University","funders":"National Heart, Lung, and Blood Institute; Government of Canada; Novo Nordisk Fonden; National Institute of General Medical Sciences; American Heart Association; National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; U.S. Department of Veterans Affairs","keywords":"Guideline; Computer science; Data science; Physiology; Medicine; Pathology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02394684,0.001484153,0.001929021,0.005021912,0.001319704,0.003123743,0.005738876,0.007500195,0.01500899],"category_scores_gemma":[0.03586091,0.001329105,0.002567182,0.002563057,0.001970262,0.002545797,0.00192212,0.005814127,0.01687782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001887101,"about_ca_system_score_gemma":0.007299806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004293378,"about_ca_topic_score_gemma":0.008389659,"domain_scores_codex":[0.9780888,0.009157399,0.004567892,0.0009260538,0.006313726,0.0009460466],"domain_scores_gemma":[0.9562464,0.01583458,0.003291947,0.002498031,0.02077882,0.001350161],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005733043,0.0004960217,0.001578063,0.01384212,0.0001204259,0.001165916,0.0008904829,0.0007252988,0.01733975,0.0189584,0.617424,0.3268863],"study_design_scores_gemma":[0.00009558174,0.0002893898,0.001448798,0.009034988,0.0001168145,0.001209951,0.000251567,0.0002583248,0.003630085,0.006080484,0.9775328,0.0000510913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.009672673,0.3774942,0.215898,0.09690443,0.03001639,0.0144048,0.01448066,0.0116273,0.2295015],"genre_scores_gemma":[0.02675429,0.320027,0.4204593,0.09293952,0.005676673,0.02210008,0.02812451,0.002178368,0.08174036],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9760532,"threshold_uncertainty_score":0.1266445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06322057632384363,"score_gpt":0.3629886196082351,"score_spread":0.2997680432843915,"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."}}