{"id":"W2137697992","doi":"10.1104/pp.108.120212","title":"Magnitude and Direction of Vesicle Dynamics in Growing Pollen Tubes Using Spatiotemporal Image Correlation Spectroscopy and Fluorescence Recovery after Photobleaching  ","year":2008,"lang":"en","type":"article","venue":"PLANT PHYSIOLOGY","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":190,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Fluorescence recovery after photobleaching; Vesicle; Fluorescence correlation spectroscopy; Photobleaching; Biophysics; Exocytosis; Apex (geometry); Tip growth; Population; Fluorescence microscope; Fluorescence; Live cell imaging; Confocal; Chemistry; Membrane; Biology; Pollen tube; Optics; Anatomy; Cell; Biochemistry; Botany; Pollen; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001958018,0.0001282582,0.0001588363,0.0004722668,0.0001370852,0.0002886158,0.0002542492,0.00024886,0.0004500002],"category_scores_gemma":[0.0005614795,0.0001451936,0.0001242944,0.0003073789,0.0001625449,0.0002636281,0.0001321857,0.0003511412,0.0001302756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003152634,"about_ca_system_score_gemma":0.0002314798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001621933,"about_ca_topic_score_gemma":0.0011602,"domain_scores_codex":[0.9999201,0.000006918397,0.000004251866,0.00002765172,0.00002798466,0.00001302671],"domain_scores_gemma":[0.9997448,0.00008889488,0.00006393638,0.00001629596,0.00006049554,0.00002549705],"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":[0.00005501281,0.00001329988,0.001245951,0.00001821293,0.000003095455,0.00003625937,0.00003034566,0.0005488947,0.9946385,0.000160444,0.00002296488,0.003226948],"study_design_scores_gemma":[0.00001437792,0.0001526776,0.09334207,0.0000159259,0.00002000279,0.000360237,0.00007908256,0.07692702,0.8283366,0.0002325002,0.0004860716,0.00003334039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876287,0.0002168501,0.01127035,0.00002443848,0.000003886797,0.00001810333,0.0001872733,0.00007188735,0.0005785239],"genre_scores_gemma":[0.9874191,0.0002704278,0.01152154,0.00001193224,0.000003393797,0.00004197474,0.0002368175,0.00002690168,0.0004678365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001621933,"threshold_uncertainty_score":0.003225029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00690035870729365,"score_gpt":0.2156385268208998,"score_spread":0.2087381681136061,"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."}}