{"id":"W3133809357","doi":"10.3354/meps13661","title":"Seascape ecology: identifying research priorities for an emerging ocean sustainability science","year":2021,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Dalhousie University","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Seascape; Landscape ecology; Ecology; Citizen science; Sustainability; Geography; Environmental resource management; Marine protected area; Environmental science; Biology","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":["sts","open_science","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.002397174,0.0001942387,0.0002533809,0.0001499691,0.001484917,0.0002734342,0.0006529448,0.00007821144,0.001170641],"category_scores_gemma":[0.0007159308,0.000198395,0.00006537171,0.0008818877,0.003253935,0.001108434,0.01377069,0.000243161,0.0000272138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006332353,"about_ca_system_score_gemma":0.0002910513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001906849,"about_ca_topic_score_gemma":0.006047662,"domain_scores_codex":[0.9969556,0.0002161035,0.000300181,0.0009306355,0.0004738066,0.001123691],"domain_scores_gemma":[0.9987006,0.0001301786,0.00007605369,0.0005773017,0.0003300654,0.0001857914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001035071,0.0002555772,0.9108348,0.0001704056,0.00002126861,0.00008151722,0.0005235375,0.00005461414,0.0001569979,0.008810611,0.001301953,0.07768518],"study_design_scores_gemma":[0.0004002685,0.0006265815,0.8759646,0.000004301988,0.00002443134,0.00004400048,0.004308482,0.0003860607,0.001069642,0.08873169,0.02816503,0.0002749356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837255,0.00002420203,0.00001108863,0.005578494,0.0005051423,0.001101564,0.000004759933,0.000135611,0.008913638],"genre_scores_gemma":[0.9842671,0.00002539008,0.00339027,0.000103591,0.00008829121,0.0003057979,0.00002479211,0.00002140906,0.01177332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07992108,"threshold_uncertainty_score":0.999815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03923592656471605,"score_gpt":0.3587946392941254,"score_spread":0.3195587127294093,"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."}}