{"id":"W4399556899","doi":"10.1016/j.tplants.2024.05.007","title":"Plant species with extremely small populations conservation program: achieving Kunming–Montreal global biodiversity targets","year":2024,"lang":"en","type":"article","venue":"Trends in Plant Science","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and Technology; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Biology; Biodiversity; China; Biodiversity conservation; Environmental resource management; Plant species; Ecology; Environmental planning; Agroforestry; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001898547,0.0002822514,0.0001353286,0.0005275432,0.001617463,0.0008762322,0.0009419108,0.0004461008,0.004556901],"category_scores_gemma":[0.002059398,0.00009452993,0.0002144687,0.0004762271,0.0006410452,0.0005880074,0.001653182,0.0008934005,0.0002063942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005508198,"about_ca_system_score_gemma":0.02516232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4486837,"about_ca_topic_score_gemma":0.7462647,"domain_scores_codex":[0.9995115,0.00009952358,0.00001297377,0.00005908313,0.0001423902,0.000174523],"domain_scores_gemma":[0.9982297,0.0001044843,0.0001136484,0.00008362693,0.0004451228,0.001023467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002913322,0.000474383,0.200654,0.001020784,0.0001845027,0.001413091,0.004742057,0.00641217,0.02841403,0.08986504,0.1829048,0.4836239],"study_design_scores_gemma":[0.00009380437,0.0003023481,0.5881022,0.0001785143,0.0000990526,0.0003188988,0.002003127,0.004535757,0.003897883,0.006225601,0.3941577,0.00008503169],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6466904,0.00735087,0.03555419,0.06206904,0.00122567,0.001349205,0.00385571,0.0008251157,0.2410797],"genre_scores_gemma":[0.9181864,0.00154738,0.02316405,0.008400073,0.0001226571,0.00060401,0.001794275,0.00004420724,0.04613682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4486837,"threshold_uncertainty_score":0.8921442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04413828980713912,"score_gpt":0.2645925667904072,"score_spread":0.220454276983268,"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."}}