{"id":"W4412619037","doi":"10.1093/plcell/koaf143","title":"Best practices in plant fluorescence imaging and reporting: A primer","year":2025,"lang":"en","type":"review","venue":"The Plant Cell","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Université de Montréal; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; Ontario Research Foundation; National Science Foundation","keywords":"Biology; Primer (cosmetics); Fluorescence; Computational biology; Optics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001228513,0.0002622464,0.0005675035,0.0001117755,0.00007864455,0.00007263709,0.0004584365,0.0002171116,0.000006336137],"category_scores_gemma":[0.001425145,0.0001580255,0.0001424103,0.0001259073,0.0001697204,0.000003400965,0.0004740183,0.0004079045,0.00001799506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001569217,"about_ca_system_score_gemma":0.0005118334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001442517,"about_ca_topic_score_gemma":0.00006007564,"domain_scores_codex":[0.9979652,0.0001222807,0.0009195755,0.0003665014,0.0002477212,0.0003787756],"domain_scores_gemma":[0.9978611,0.0002047399,0.001341298,0.0004569492,0.00003780225,0.00009808617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004706161,0.000161731,0.0002436851,0.02513492,0.0001102257,0.0001397075,0.0001495726,3.235936e-7,0.001041552,0.00001180439,0.009493795,0.9634656],"study_design_scores_gemma":[0.000119275,0.00005329996,0.000008271193,0.003232259,0.0001447697,0.0001585763,0.0001063174,0.0000494766,0.0005481237,0.000007539823,0.9953606,0.0002114706],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001915594,0.9943294,0.00001199546,0.0001061985,0.0001534118,0.0005443691,0.0001694079,0.000005641621,0.00448801],"genre_scores_gemma":[0.0001083039,0.9964314,0.0002726527,0.00006387966,0.0001433392,0.00003243437,0.0006267102,0.00001362204,0.002307619],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9858668,"threshold_uncertainty_score":0.6444094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07884710000632648,"score_gpt":0.3633353399911168,"score_spread":0.2844882399847903,"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."}}