{"id":"W4388947926","doi":"10.1002/ecs2.4698","title":"The role of short‐term temperature variability and light in shaping the phenology and characteristics of seagrass beds","year":2023,"lang":"en","type":"article","venue":"Ecosphere","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Seagrass; Environmental science; Phenology; Zostera marina; Atmospheric sciences; Range (aeronautics); Seasonality; Upwelling; Climate change; Ecology; Sea surface temperature; Oceanography; Climatology; Ecosystem; Biology; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003815558,0.00006173543,0.0001360641,0.000009266091,0.00007187309,0.00001434734,0.0001106909,0.0000685401,0.000167879],"category_scores_gemma":[0.00005172315,0.00003250678,0.00001366243,0.0001156454,0.0001073299,0.00003082732,0.00004348986,0.0001171622,0.000004072242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":6.463545e-7,"about_ca_system_score_gemma":0.00001607021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006910366,"about_ca_topic_score_gemma":0.009358668,"domain_scores_codex":[0.9994545,0.00008487226,0.0001615854,0.000117202,0.00004549012,0.0001363566],"domain_scores_gemma":[0.9994712,0.0003370236,0.00004161747,0.0001132631,0.00001463843,0.00002221004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002962012,0.000004077046,0.8353153,0.00001958854,0.00001022774,0.000002439003,0.0001786999,0.000003754946,0.0006568405,0.0002226091,0.0001598559,0.163397],"study_design_scores_gemma":[0.00005029565,0.0000586001,0.9919096,0.00000778014,0.00000466814,0.000006940271,0.0003651993,0.001238665,0.0001128327,0.001425375,0.004777919,0.00004213094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886113,0.0004733299,2.437503e-7,0.0003589629,0.00006576772,0.00008269695,0.00006876574,0.000006569248,0.01033233],"genre_scores_gemma":[0.9992074,0.0004989232,0.000007767238,0.00002612731,0.00002828457,8.143699e-7,0.00003762962,0.000001126645,0.000191911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1633548,"threshold_uncertainty_score":0.5222356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00717852172005173,"score_gpt":0.189766958143078,"score_spread":0.1825884364230262,"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."}}