{"id":"W4378620075","doi":"10.1098/rstb.2022.0199","title":"Looking back on biodiversity change: lessons for the road ahead","year":2023,"lang":"en","type":"review","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université de Montréal; Université du Québec; McGill University","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Biodiversity; Climate change; Environmental resource management; Biology; Ecology; Geography; Environmental science","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001015833,0.0003108601,0.0005514264,0.00002634593,0.002452048,0.00005560121,0.001851797,0.0003310914,0.0005169504],"category_scores_gemma":[0.00006038045,0.0001390766,0.001652266,0.0009685495,0.002868497,0.0000488182,0.0003560693,0.0004224981,0.0002653456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001580817,"about_ca_system_score_gemma":0.00002355528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005356552,"about_ca_topic_score_gemma":0.00003016001,"domain_scores_codex":[0.9978664,0.0002022814,0.0003426549,0.0006465563,0.0005366372,0.0004054795],"domain_scores_gemma":[0.9984018,0.0008751615,0.0002623929,0.0003589722,0.00001580071,0.00008594149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003719358,0.0006890802,0.003269348,0.001795745,0.0007034272,0.000001107731,0.0006210142,0.002183542,0.0000011776,0.0005585755,0.003680909,0.9864589],"study_design_scores_gemma":[0.0002816125,0.0004356008,0.01181448,0.0009327182,0.0009765631,0.000001382173,0.0003237041,0.001849239,0.000001805483,0.002816184,0.9799588,0.0006079275],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001602367,0.7036791,0.003934859,0.2645607,0.003730983,0.01438341,0.002944504,0.0005170624,0.004647005],"genre_scores_gemma":[0.004762559,0.992922,0.0002283545,0.001121068,0.0002489913,0.0001640366,0.00001598337,0.00001082944,0.0005261542],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9858509,"threshold_uncertainty_score":0.9998451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2981485140677269,"score_gpt":0.3386315337905623,"score_spread":0.04048301972283541,"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."}}