{"id":"W3163862021","doi":"10.1111/gcb.15684","title":"Long‐term declines and recovery of meadow area across the world’s seagrass bioregions","year":2021,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":473,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Centre of Excellence for Environmental Decisions, Australian Research Council","keywords":"Seagrass; Climate change; Context (archaeology); Temperate climate; Geography; Ecology; Habitat; Ecosystem; Global change; Ecoregion; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001360067,0.000117278,0.0002138462,0.00001948262,0.00009776229,0.00001796704,0.0001618824,0.0001025957,0.0003902418],"category_scores_gemma":[0.00004322015,0.00007133645,0.00005698047,0.0002605972,0.000272185,0.00005102551,0.00008778348,0.00007174836,0.00002109756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000241005,"about_ca_system_score_gemma":0.00002832591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006563269,"about_ca_topic_score_gemma":0.238364,"domain_scores_codex":[0.9991266,0.0001126716,0.0001624532,0.0002461748,0.00004708309,0.0003050007],"domain_scores_gemma":[0.9994746,0.0001577484,0.0000761316,0.0001733614,0.0000508569,0.00006733141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004652981,0.000008256206,0.8387347,0.000009177389,0.00002452506,0.00002031115,0.00002422784,2.005412e-7,0.00001796932,0.0001608727,0.0003965901,0.1605566],"study_design_scores_gemma":[0.0001832001,0.0001335277,0.9778486,0.00001016386,0.00001413177,0.0001646815,0.00008817363,0.00002703726,0.00003840727,0.001031841,0.02035757,0.0001026316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984976,0.004396352,0.00002834876,0.001879901,0.0005712919,0.0001123501,0.001747309,0.00001889836,0.006269534],"genre_scores_gemma":[0.9962209,0.001076488,0.00004370871,0.001091689,0.0002135818,0.000002275397,0.0007048331,0.000001151799,0.0006453641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2318007,"threshold_uncertainty_score":0.9921744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05513465785219218,"score_gpt":0.2801519825953888,"score_spread":0.2250173247431966,"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."}}