{"id":"W4401656713","doi":"10.47348/salj/v141/i3a6","title":"Realizing South Africa’s contribution to the global biodiversity framework’s area-based targets — The potential impact of new screening trends linked to strategic infrastructure projects, corridors and zones","year":2024,"lang":"en","type":"article","venue":"South African Law Journal","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Environmental planning; Environmental resource management; Regional science; Business; Geography; Political science; Ecology; Economics; Biology","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":[0.007495643,0.0005460284,0.0002461347,0.00117083,0.003270973,0.005856517,0.0008357912,0.001652729,0.004872418],"category_scores_gemma":[0.01292017,0.0002858821,0.0004413383,0.001245578,0.00413178,0.005706127,0.004294779,0.003767563,0.000358578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008651463,"about_ca_system_score_gemma":0.02491189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05189601,"about_ca_topic_score_gemma":0.07652847,"domain_scores_codex":[0.9955479,0.001857189,0.0001343143,0.0002028451,0.00127031,0.0009874372],"domain_scores_gemma":[0.9922261,0.003697946,0.001036697,0.0004631859,0.001997367,0.0005787065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001504398,0.00008013811,0.01589252,0.001983259,0.0001066712,0.002900354,0.03012846,0.005836294,0.009646647,0.5896113,0.0730004,0.2706636],"study_design_scores_gemma":[0.00001344772,0.0001087412,0.02241615,0.001702908,0.00006359367,0.0007558041,0.03700775,0.001952514,0.004303468,0.07802797,0.8535215,0.00012613],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2113604,0.02527162,0.03804462,0.4062918,0.004028165,0.0006777272,0.001013647,0.0001956282,0.3131165],"genre_scores_gemma":[0.9426425,0.01177154,0.01920779,0.01189512,0.0003204579,0.0001703361,0.0002465415,0.0001149486,0.01363082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05189601,"threshold_uncertainty_score":0.1031879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02340758260024939,"score_gpt":0.2397274413844757,"score_spread":0.2163198587842264,"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."}}