{"id":"W3198537291","doi":"10.1111/rec.13546","title":"Assessing mangrove restoration practices using species‐interaction networks","year":2021,"lang":"en","type":"article","venue":"Restoration Ecology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council; Direktorat Riset Dan Pengabdian Kepada Masyarakat; Kementerian Riset Teknologi Dan Pendidikan Tinggi Republik Indonesia; Universitas Sam Ratulangi; Swine Innovation Porc; Sight Research UK; Newton Fund","keywords":"Mangrove; Reforestation; Biodiversity; Species richness; Restoration ecology; Ecosystem; Ecology; Ecosystem services; Environmental resource management; Geography; Forest restoration; Agroforestry; Environmental science; Forest ecology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001822101,0.00009073919,0.0001313469,0.00001168194,0.0004169809,0.0002219484,0.00005658223,0.0001082349,0.0002842199],"category_scores_gemma":[0.0002794374,0.00004553421,0.00004021763,0.000225276,0.00002741506,0.000788908,0.00004398351,0.0001242751,0.00002690797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009989976,"about_ca_system_score_gemma":0.00002128002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007830599,"about_ca_topic_score_gemma":0.01107853,"domain_scores_codex":[0.9991114,0.0001918452,0.0001907956,0.0002248707,0.000104992,0.000176164],"domain_scores_gemma":[0.9991439,0.0002877954,0.0003646545,0.0000220126,0.0001462315,0.00003541294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005408105,0.0001332679,0.08249373,0.000006317325,0.00003266376,0.00006810869,0.00007409865,0.00129418,0.9060492,0.001508647,0.003011891,0.005273812],"study_design_scores_gemma":[0.0001098986,0.0001337455,0.924015,0.00001746824,0.0000300667,0.00007845285,0.001693171,0.01281157,0.00185396,0.0001789418,0.05887907,0.0001986401],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937882,0.0001842084,0.0001731699,0.00166001,0.0004641988,0.0000733636,0.000003667156,0.00004794613,0.003605232],"genre_scores_gemma":[0.9979726,0.0001093593,0.000239019,0.0002344587,0.0009009704,0.000005067676,0.000103204,8.291755e-7,0.0004344721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9041952,"threshold_uncertainty_score":0.6182081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1774272610260382,"score_gpt":0.3251497499125255,"score_spread":0.1477224888864873,"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."}}