{"id":"W2914577202","doi":"10.1101/549873","title":"Resilience trinity: safeguarding ecosystem services across three different time horizons and decision contexts","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Operationalization; Resilience (materials science); Safeguarding; Provisioning; Context (archaeology); Environmental resource management; Socio-ecological system; Ecosystem services; Business; Computer science; Risk analysis (engineering); Ecosystem; Environmental science; Geography; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004229195,0.0006441358,0.0004887841,0.001571947,0.001099761,0.00453676,0.0009836906,0.000960674,0.007877165],"category_scores_gemma":[0.006769216,0.0002367917,0.0007438797,0.0009318885,0.004088244,0.004928311,0.005803619,0.002140102,0.0004565504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0031087,"about_ca_system_score_gemma":0.003609731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003507905,"about_ca_topic_score_gemma":0.004342423,"domain_scores_codex":[0.9986166,0.0005807508,0.00007705017,0.0002649013,0.0002065585,0.0002542303],"domain_scores_gemma":[0.9963568,0.0013623,0.0009039368,0.000356107,0.0003629526,0.0006579498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000294447,0.000162515,0.01693427,0.0004636523,0.0001593581,0.0004055634,0.00312774,0.06586125,0.004211929,0.8260087,0.005511694,0.07685888],"study_design_scores_gemma":[0.00003614557,0.0001769236,0.01039269,0.0004129255,0.00009460603,0.0002072529,0.004576331,0.1238639,0.004226124,0.8303306,0.02553709,0.0001455073],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3623569,0.001279241,0.5122937,0.01519907,0.000379778,0.0003224071,0.001285068,0.001284204,0.1055996],"genre_scores_gemma":[0.9349498,0.0003049431,0.06118343,0.0002152541,0.00003483219,0.0001649921,0.0002855655,0.00006167017,0.002799512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007877165,"threshold_uncertainty_score":0.02635175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007533660493688727,"score_gpt":0.210939082930404,"score_spread":0.2034054224367153,"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."}}