{"id":"W2039859431","doi":"10.1002/cyto.a.10100","title":"Cytometry and plant sciences: A personal retrospective","year":2004,"lang":"en","type":"review","venue":"Cytometry Part A","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cytometry; Flow cytometry; Computer science; Biology; Molecular biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009767208,0.001279313,0.001201439,0.006425871,0.002046327,0.007512212,0.002081702,0.004175951,0.0243376],"category_scores_gemma":[0.009349811,0.0008705292,0.000827637,0.005436714,0.006319683,0.009898157,0.006528135,0.00893885,0.03321809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003166394,"about_ca_system_score_gemma":0.00326781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001315807,"about_ca_topic_score_gemma":0.001876508,"domain_scores_codex":[0.9950961,0.001202276,0.0004728919,0.0008747508,0.00208831,0.0002656628],"domain_scores_gemma":[0.9916831,0.00204642,0.000324296,0.00158016,0.003322007,0.001043927],"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":[0.0001177663,0.0001022767,0.0008118718,0.001312028,0.00003814968,0.0001679511,0.0003245145,0.0002304417,0.003186531,0.04751208,0.4223706,0.5238259],"study_design_scores_gemma":[0.000002608263,0.00001650053,0.0001613952,0.00020942,0.000003199552,0.0002484972,0.00003137915,0.00002605328,0.000236354,0.00343901,0.9956176,0.000008046421],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009825097,0.7827811,0.01792085,0.06264585,0.03690987,0.0001894884,0.0005785251,0.0006313094,0.09736046],"genre_scores_gemma":[0.01042353,0.716267,0.02077087,0.04578746,0.06804471,0.0004227432,0.001159568,0.0006216661,0.1365025],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0243376,"threshold_uncertainty_score":0.08141744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05458357037536757,"score_gpt":0.3173102292370612,"score_spread":0.2627266588616937,"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."}}