{"id":"W4256359530","doi":"10.21203/rs.3.rs-15478/v2","title":"Diversity of plant assemblages dampens the variability of the growing season phenology in wetland landscapes","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; ArcticNet","keywords":"Phenology; Wetland; Diversity (politics); Geography; Ecology; Physical geography; Biology; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004993284,0.0001232853,0.0001922173,0.0009626627,0.0006247301,0.0007066395,0.0003321343,0.0001908517,0.001624348],"category_scores_gemma":[0.001340574,0.0001115622,0.0001778328,0.0007299467,0.0006045175,0.0002678564,0.0004169076,0.0001980025,0.0000996192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446221,"about_ca_system_score_gemma":0.001113913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3537379,"about_ca_topic_score_gemma":0.6249752,"domain_scores_codex":[0.999698,0.00006206743,0.00001208405,0.000105476,0.00004554535,0.00007689572],"domain_scores_gemma":[0.9986632,0.0003086772,0.0003865883,0.00008104667,0.0002900827,0.0002704185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007797468,0.00002406493,0.9898733,0.00001702239,0.00006857756,0.00003980776,0.0004541466,0.0002492067,0.004696967,0.00004557132,0.0001748357,0.004278392],"study_design_scores_gemma":[3.294318e-7,0.000003673565,0.9996139,0.00000122643,0.000002629984,0.000005944552,0.0001187727,0.0001632675,0.00003098777,0.000007125298,0.00005120444,8.23524e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992753,0.00005113307,0.0001228708,0.00001614599,0.000001159125,0.00000274017,0.0001556809,0.000004537063,0.0003704997],"genre_scores_gemma":[0.9997274,0.00001198464,0.00008114163,0.0000066633,9.453084e-7,0.000001414071,0.00008836591,0.000001556855,0.00008059292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3537379,"threshold_uncertainty_score":0.7033578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04362073388748944,"score_gpt":0.2972588499384534,"score_spread":0.253638116050964,"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."}}