{"id":"W2028923863","doi":"10.1139/b99-158","title":"The effects of drought and waterlogging conditions on the performance of an endemic annual plant, <i>Aster</i> <i>laurentianus</i>","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Botany","topic":"Plant responses to water stress","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Marsh; Waterlogging (archaeology); Salt marsh; Biomass (ecology); Environmental science; Advanced Spaceborne Thermal Emission and Reflection Radiometer; Annual plant; Salinity; Habitat; Ecology; Biology; Geography; Wetland","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.0001560619,0.000274584,0.0001849624,0.0001474298,0.0002784772,0.0002330107,0.0001884694,0.0001865044,0.0007349279],"category_scores_gemma":[0.0002318645,0.0001200996,0.0001183624,0.0001050679,0.0002722325,0.0002091276,0.0002259429,0.0003591803,0.0001110701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006565624,"about_ca_system_score_gemma":0.0002738968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007422026,"about_ca_topic_score_gemma":0.01674634,"domain_scores_codex":[0.9999019,0.00001867296,0.000007372527,0.00002676038,0.00001744848,0.00002790569],"domain_scores_gemma":[0.9996597,0.00006934444,0.00008362064,0.00002210939,0.0000389639,0.0001262327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00110968,0.0003406632,0.02627185,0.00007390447,0.00003316187,0.0001287601,0.0002953344,0.0002598021,0.9662855,0.00005211053,0.00008580741,0.005063429],"study_design_scores_gemma":[0.00004765177,0.005033616,0.8552971,0.000008687141,0.00004846629,0.0001810919,0.0003284387,0.001272479,0.1362636,0.00007437499,0.001411439,0.00003301586],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997628,0.00002810893,0.00002369552,0.00000514236,0.000001494484,0.000002503177,0.00003179195,0.000002746717,0.0001415551],"genre_scores_gemma":[0.9992085,0.00003462471,0.0001303641,0.00002149649,0.000002100749,0.000007334718,0.0001172175,0.000002953883,0.0004752227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007422026,"threshold_uncertainty_score":0.01475763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00464443630442344,"score_gpt":0.1679675049983479,"score_spread":0.1633230686939245,"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."}}