{"id":"W3008200270","doi":"10.1111/rec.13146","title":"Towards an integrated perspective of biological conservation and ecological restoration","year":2020,"lang":"en","type":"article","venue":"Restoration Ecology","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Restoration ecology; Conservation; Perspective (graphical); Environmental resource management; Ecology; Conservation biology; Environmental restoration; Environmental planning; Geography; Environmental 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001741053,0.00008262404,0.0001309512,0.00003203791,0.00006865409,0.00001383287,0.0000893984,0.0001196892,0.001631089],"category_scores_gemma":[0.0003489385,0.00006890639,0.00001725714,0.0002204156,0.000271433,0.0002584052,0.0000728833,0.00008067597,0.0001386402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001144945,"about_ca_system_score_gemma":0.00002167059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004332069,"about_ca_topic_score_gemma":0.0007221972,"domain_scores_codex":[0.999194,0.0001957894,0.00018613,0.0002288483,0.00008428608,0.0001109696],"domain_scores_gemma":[0.9996658,0.00003996307,0.0001089757,0.00007860047,0.00002948884,0.00007715409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005768018,0.000472224,0.751876,0.00001936653,0.00003678826,0.0000164516,0.005702978,0.002974131,0.01978509,0.1737893,0.03935649,0.005394433],"study_design_scores_gemma":[0.0004263551,0.001983592,0.9487376,0.000001326074,0.00001205531,0.000002346755,0.000420188,0.02286386,0.0002245994,0.002866869,0.02232079,0.0001404801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860348,0.000007430548,0.0004407639,0.008151544,0.00005867171,0.0002316217,0.000004735067,0.00004586879,0.005024633],"genre_scores_gemma":[0.9971889,0.00002048759,0.001171128,0.001422047,0.00004467527,0.0000134098,0.00004641546,0.000003951216,0.00008899634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1968616,"threshold_uncertainty_score":0.9992815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04321744756131882,"score_gpt":0.2857112367704695,"score_spread":0.2424937892091507,"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."}}