{"id":"W4399705636","doi":"10.1111/ele.14459","title":"Principles for area‐based biodiversity conservation","year":2024,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Biodiversity; Habitat; Biodiversity conservation; Environmental resource management; Ecosystem services; Measurement of biodiversity; Conservation biology; Ecosystem; Geography; Protected area; Habitat destruction; Environmental planning; Ecology; Biology; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001443239,0.00007007511,0.00005448859,0.00003243827,0.0001026141,0.00002161847,0.00009457255,0.00003226469,0.00176323],"category_scores_gemma":[0.00001391175,0.00007012381,0.00004600685,0.0000708393,0.0001324487,0.0001035281,0.00007166762,0.00004218252,0.0007847326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001991836,"about_ca_system_score_gemma":0.000004046275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006360262,"about_ca_topic_score_gemma":0.0004197101,"domain_scores_codex":[0.9994522,0.00001970383,0.00009558603,0.000219715,0.00007328319,0.0001395],"domain_scores_gemma":[0.9997601,0.00008669903,0.00002393219,0.00009793698,0.000001036798,0.00003029425],"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":[0.00002164515,0.00005436941,0.4143783,0.00002900774,0.0000350451,0.00002099154,0.00007442545,0.003204548,0.0116111,0.0007244659,0.5692344,0.000611602],"study_design_scores_gemma":[0.0002064586,0.00003393102,0.3171534,0.000003153759,0.00002214566,6.401293e-7,0.00001411758,0.01020386,0.0005871191,0.00003276513,0.6716521,0.00009033683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8599956,0.000005427944,0.0119561,0.1254181,0.0003346036,0.00039514,0.00001616722,0.0001084788,0.001770386],"genre_scores_gemma":[0.8440125,0.000005100859,0.005232022,0.1488448,0.00002344415,0.0000967548,0.0001100595,0.000009801771,0.001665547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1024176,"threshold_uncertainty_score":0.9999933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02792295209253971,"score_gpt":0.2150275555174054,"score_spread":0.1871046034248657,"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."}}