{"id":"W3128225355","doi":"10.3389/fmars.2021.597707","title":"Multiple Metrics of Temperature, Light, and Water Motion Drive Gradients in Eelgrass Productivity and Resilience","year":2021,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":29,"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":"Zostera marina; Environmental science; Ecosystem; Productivity; Climate change; Seagrass; Ecology; Environmental change; Psychological resilience; Biology","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":[0.000415926,0.0002868522,0.0002536775,0.0008289238,0.0004070644,0.0007126185,0.0001989235,0.0001442694,0.0004955539],"category_scores_gemma":[0.001314745,0.0001470424,0.0003453144,0.0005713971,0.000740161,0.0002727224,0.0006754523,0.0002754117,0.00007537238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008838906,"about_ca_system_score_gemma":0.0005424191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0698252,"about_ca_topic_score_gemma":0.1414426,"domain_scores_codex":[0.999795,0.0000349946,0.00001540722,0.00007931188,0.00003003921,0.00004528374],"domain_scores_gemma":[0.999227,0.000160208,0.0003179343,0.00008580144,0.0001153842,0.0000935755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005330028,0.00001159586,0.9722959,0.00002631549,0.0001512236,0.00005555703,0.0003289102,0.004429706,0.01580882,0.0002623932,0.0001238331,0.006452515],"study_design_scores_gemma":[8.326177e-7,0.000006750809,0.9951285,0.000002931494,0.00001189815,0.00001817764,0.0001689024,0.00410117,0.0002840396,0.0001565521,0.0001151331,0.000004965199],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982005,0.0000562806,0.001187829,0.0000274033,0.000001309414,0.000002596773,0.0001668869,0.00002074183,0.00033637],"genre_scores_gemma":[0.9994302,0.00001919658,0.0003688672,0.000006017174,9.751848e-7,0.000002010303,0.0001083763,0.000003842539,0.00006037237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0698252,"threshold_uncertainty_score":0.1388376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005411259869894726,"score_gpt":0.1839806647443925,"score_spread":0.1785694048744978,"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."}}