{"id":"W4405176120","doi":"10.1016/j.aquabot.2024.103852","title":"Seasonal trait variation and functional niche overlap of macrophyte growth forms","year":2024,"lang":"en","type":"article","venue":"Aquatic Botany","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal; Université du Québec; McGill University","funders":"","keywords":"Macrophyte; Niche; Trait; Variation (astronomy); Biology; Ecology; Seasonality; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001970804,0.00008930948,0.0001032665,0.00001867984,0.0000427512,0.00003305872,0.0000525871,0.0000431512,0.0008479111],"category_scores_gemma":[0.00002897121,0.00007356032,0.00004369625,0.0001692483,0.00004758721,0.0001968112,0.00007505535,0.0000681725,0.0001654836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008555374,"about_ca_system_score_gemma":0.00001336596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002915206,"about_ca_topic_score_gemma":0.0003714004,"domain_scores_codex":[0.9991903,0.00001734729,0.0001784215,0.000200817,0.0002754944,0.0001375826],"domain_scores_gemma":[0.9997159,0.00009401505,0.00003937643,0.0000920633,0.000003679913,0.00005495729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002915501,0.0004326703,0.6440827,0.001073296,0.0004453679,0.00007961325,0.004490264,0.001132577,0.1501881,0.05913629,0.006634283,0.1320133],"study_design_scores_gemma":[0.000227596,0.00007468147,0.6219757,0.00004622939,0.00003829057,0.00003424103,0.00004178091,0.3613902,0.00008000954,0.01544088,0.0005154157,0.0001349285],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811776,0.00009076799,0.01414347,0.0002377818,0.0002082441,0.0001275704,0.00003140977,0.00003254628,0.003950572],"genre_scores_gemma":[0.9986393,0.00001134358,0.000582765,0.00003961652,0.00003602706,0.000008511994,0.000005912432,0.00001109859,0.0006654192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3602577,"threshold_uncertainty_score":0.9284031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006062166221349936,"score_gpt":0.1905700514070406,"score_spread":0.1845078851856907,"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."}}