{"id":"W2945858019","doi":"10.1002/eap.1897","title":"Nearshore seascape connectivity enhances seagrass meadow nursery function","year":2019,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Tula Foundation; University of Victoria","funders":"Hakai Institute; Liber Ero Foundation; Tula Foundation; University of Victoria","keywords":"Seagrass; Seascape; Kelp forest; Ecology; Nursery habitat; Habitat; Fishery; Biology; Kelp; Ecosystem; Rockfish","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001151127,0.0001718613,0.0001807675,0.0003272977,0.00017822,0.0004236618,0.0001401506,0.0001562847,0.002349727],"category_scores_gemma":[0.0004280729,0.0001253215,0.0001410629,0.0001602461,0.0002097503,0.000210878,0.0004366858,0.0001241125,0.0001468074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001781797,"about_ca_system_score_gemma":0.0001268197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004768741,"about_ca_topic_score_gemma":0.02130572,"domain_scores_codex":[0.999934,0.00001295919,0.000004285021,0.00002423382,0.000007880637,0.00001667305],"domain_scores_gemma":[0.9994751,0.00009340059,0.0001668328,0.00003021103,0.00003321977,0.0002013013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002163138,0.0001002234,0.9370245,0.00003319454,0.0001347561,0.0001503821,0.0002202475,0.0005904839,0.05738647,0.00007937011,0.0001265074,0.003937405],"study_design_scores_gemma":[0.000001106842,0.00003770319,0.9992369,0.00000189158,0.000008481605,0.00001420785,0.00007270081,0.0003716995,0.0002011269,0.00001542508,0.00003774237,0.000001036871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997975,0.0000103846,0.00003423519,0.000003151093,3.723922e-7,5.620171e-7,0.00001937593,0.000002706368,0.0001317561],"genre_scores_gemma":[0.9997345,0.000009104832,0.00005594086,0.00000464598,7.963867e-7,0.000001101678,0.0000322198,0.000001345009,0.0001602356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004768741,"threshold_uncertainty_score":0.009481966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009232417506171252,"score_gpt":0.2007790603885309,"score_spread":0.1915466428823596,"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."}}