{"id":"W2104468240","doi":"10.1007/978-3-642-41787-0_14","title":"Photo-Convertible Reporters for Selective Visualization of Subcellular Events and Interactions","year":2013,"lang":"en","type":"book-chapter","venue":"Plant cell monographs","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Visualization; Convertible; Computer science; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006613894,0.0002474059,0.0002517921,0.000155035,0.00005323323,0.00001034242,0.0001086212,0.0002528075,0.00002107525],"category_scores_gemma":[0.00001130272,0.0002603863,0.0001361839,0.00002612833,0.00007941314,0.00000774149,0.00005780975,0.00009800385,0.000001670227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001458487,"about_ca_system_score_gemma":0.0000332554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001820208,"about_ca_topic_score_gemma":0.0000100291,"domain_scores_codex":[0.9989995,0.00000998901,0.0003324111,0.0004123085,0.00008479067,0.0001610008],"domain_scores_gemma":[0.9991315,0.00001717572,0.0004025389,0.000246215,0.0001482752,0.00005426612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001194815,0.00003585225,0.0005709335,0.0001369306,0.0001097111,0.000001544117,0.00004310328,0.000001186833,0.9912583,0.0003196405,0.007097,0.0003062717],"study_design_scores_gemma":[0.0002024514,0.0003070162,0.00002018384,0.0001101252,0.00007639,0.00001514609,0.00001224446,0.00006107384,0.9456575,0.001414135,0.0518543,0.0002694261],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1222769,0.01597544,0.612104,0.00007133918,0.002178306,0.01712231,0.006185269,0.0005097768,0.2235766],"genre_scores_gemma":[0.6284457,0.02006075,0.07420743,0.0003789363,0.0003930177,0.001013022,0.02418727,0.0006394769,0.2506744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5378966,"threshold_uncertainty_score":0.9999849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010690158807359,"score_gpt":0.2521888906729673,"score_spread":0.2420819890848938,"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."}}