{"id":"W4403371759","doi":"10.1111/rec.14287","title":"Toward an agenda for restoration science","year":2024,"lang":"en","type":"article","venue":"Restoration Ecology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of Victoria","funders":"","keywords":"Restoration ecology; Environmental resource management; Geography; Environmental planning; Environmental science; Agroforestry; Environmental ethics; Political science; Ecology; Biology; Philosophy","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":["insufficient_payload"],"category_scores_codex":[0.0004470196,0.00007200602,0.00006589118,0.00006493535,0.0002432019,0.0001284541,0.0001559399,0.00006346966,0.01119758],"category_scores_gemma":[0.0001251725,0.00006991122,0.0000265256,0.00038832,0.0002766151,0.0007429729,0.00004607761,0.00005155379,0.001402005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006385,"about_ca_system_score_gemma":0.00006821009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003363553,"about_ca_topic_score_gemma":0.0008313232,"domain_scores_codex":[0.9991234,0.0000307283,0.0001391783,0.0003126108,0.0001743551,0.0002197506],"domain_scores_gemma":[0.9996766,0.00003931551,0.00003216597,0.000149691,0.00002610333,0.00007610724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001250489,0.0003616168,0.01233862,0.00009284067,0.00001693101,0.00003286339,0.004041735,0.001051778,0.3363454,0.2762237,0.3422822,0.02708725],"study_design_scores_gemma":[0.0003035531,0.0005933569,0.1605653,0.000005378639,0.00001734084,0.00002246618,0.001043918,0.01715939,0.005491917,0.002121401,0.8123928,0.0002831805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709013,0.00005445362,0.006129715,0.003558888,0.002047185,0.0004779091,0.00006150754,0.0002445241,0.01652459],"genre_scores_gemma":[0.9983684,0.00001413097,0.0002923227,0.0003745217,0.00008544313,0.00008493105,0.0001327754,0.000008016764,0.0006394717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4701107,"threshold_uncertainty_score":0.9993755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08295527405457996,"score_gpt":0.3319714100904358,"score_spread":0.2490161360358559,"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."}}