{"id":"W2288500112","doi":"10.1007/s10021-016-9967-0","title":"Frontiers in Ecosystem Ecology from a Community Perspective: The Future is Boundless and Bright","year":2016,"lang":"en","type":"article","venue":"Ecosystems","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Division of Environmental Biology; National Socio-Environmental Synthesis Center; National Science Foundation","keywords":"Ecosystem; Ecology; Multidisciplinary approach; Discipline; Ecosystem ecology; Function (biology); Citizen science; Perspective (graphical); Process (computing); Ethnography; Functional ecology; Sociology; Geography; Social science; Computer 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":[],"consensus_categories":[],"category_scores_codex":[0.0006916014,0.0001999188,0.0003503667,0.00004204358,0.0003913108,0.00008141632,0.0005279339,0.0001552689,0.0007812761],"category_scores_gemma":[0.000009113597,0.000100491,0.00005686254,0.000165905,0.00003729119,0.0003139777,0.0002429933,0.0002026087,0.000496995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004445122,"about_ca_system_score_gemma":0.00001356174,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0139577,"about_ca_topic_score_gemma":0.2654781,"domain_scores_codex":[0.9981743,0.0006198747,0.0003168486,0.0003496849,0.0001847582,0.0003545071],"domain_scores_gemma":[0.9989921,0.0001892251,0.0001455604,0.0005580927,0.00001194931,0.0001030194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003227509,0.00006279685,0.9841545,0.00003797485,0.00005430344,0.00001153592,0.004501846,0.000004566306,0.0002094103,0.0001033416,0.009691668,0.001135745],"study_design_scores_gemma":[0.002063495,0.0001067915,0.8016068,0.0002731517,0.00004222925,0.00006008,0.01932026,0.002380339,0.0004159907,0.004689265,0.1684737,0.0005679375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923387,0.0006783335,0.00003800694,0.003008405,0.001259348,0.0003874408,0.0001496654,0.00003912856,0.002100926],"genre_scores_gemma":[0.9990902,0.0001514692,0.00002954597,0.0002495483,0.0002774321,0.00005422952,0.000003879809,0.00001787116,0.0001258455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2515204,"threshold_uncertainty_score":0.9926084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00536289810786738,"score_gpt":0.1978666114924355,"score_spread":0.1925037133845681,"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."}}