{"id":"W3171139109","doi":"10.1088/2050-6120/ac07f3","title":"Corrigendum: Perfusion fixation methods for preclinical biodistribution studies: a comparative assessment using automated image processing (2021 <i>Methods Appl. Fluoresc.</i> <b>9</b>  017001)","year":2021,"lang":"en","type":"erratum","venue":"Methods and Applications in Fluorescence","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Biodistribution; Fixation (population genetics); Medical physics; Image processing; Medicine; Nuclear medicine; Computer science; Artificial intelligence; Biology; Image (mathematics); In vivo","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":[0.001981462,0.002204101,0.001762239,0.004396645,0.002356524,0.00319933,0.003177997,0.004049902,0.1197307],"category_scores_gemma":[0.0110365,0.001210855,0.001512212,0.002793807,0.001142951,0.001882965,0.001252014,0.004508495,0.1143852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002697042,"about_ca_system_score_gemma":0.002446748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01317698,"about_ca_topic_score_gemma":0.02885939,"domain_scores_codex":[0.9976433,0.0002363234,0.0002228758,0.0002852475,0.0014763,0.0001359566],"domain_scores_gemma":[0.9902642,0.001515826,0.0004334782,0.0007619155,0.006544278,0.0004803948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002981563,0.00001613457,0.00004095609,0.0002456688,0.000007844313,0.0001371721,0.000009026484,0.00007244048,0.0007530762,0.0005531406,0.9732441,0.02489054],"study_design_scores_gemma":[0.00001321617,0.00004161722,0.0007980918,0.0001539389,0.00002573789,0.0003344391,0.00002007928,0.0002508105,0.002081696,0.0005396877,0.9957125,0.00002817896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0005555059,0.01095802,0.007981362,0.02536885,0.9033841,0.0001758014,0.002880955,0.002276981,0.04641845],"genre_scores_gemma":[0.004931801,0.01985607,0.01505379,0.02550128,0.07878857,0.0003197361,0.006671004,0.002665144,0.8462125],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1197307,"threshold_uncertainty_score":0.4005392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08760396221226645,"score_gpt":0.5235920298483124,"score_spread":0.435988067636046,"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."}}