{"id":"W281047273","doi":"10.5751/es-01977-120110","title":"Expert and Generalist Local Knowledge about Land-cover Change on South Africa’s Wild Coast: Can Local Ecological Knowledge Add Value to Science?","year":2007,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nelson Mandela Metropolitan University; Rhodes University","keywords":"Generalist and specialist species; Ecology; Cover (algebra); Geography; Value (mathematics); Land cover; Environmental resource management; Land use; Biology; Environmental science; Habitat; Engineering; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001133182,0.0002658198,0.000319398,0.00006776441,0.0008393063,0.00003837991,0.0002832582,0.0003210776,0.000725029],"category_scores_gemma":[0.00004078633,0.0002170389,0.00008538813,0.000348609,0.002384349,0.0001313696,0.0006681621,0.0002729762,0.0003370006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003312217,"about_ca_system_score_gemma":0.00003710461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001487271,"about_ca_topic_score_gemma":0.00668727,"domain_scores_codex":[0.997916,0.00009498915,0.0002352452,0.0007400018,0.0001612012,0.0008525985],"domain_scores_gemma":[0.9991059,0.0002025586,0.00006142558,0.0002090925,0.0000172993,0.0004037147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002843338,0.001707165,0.6725321,0.00005445063,0.0001471462,0.00005792128,0.1255443,0.00045987,0.0007174103,0.01058899,0.1629231,0.02498319],"study_design_scores_gemma":[0.00084669,0.0006660039,0.8642424,0.000006831649,0.00002327175,0.00000987486,0.001237275,0.0008645201,0.00003697561,0.000184013,0.1315601,0.0003220843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808842,0.0002501778,0.001529884,0.000570183,0.0005363312,0.0005062427,0.0000123978,0.00005853397,0.01565208],"genre_scores_gemma":[0.9929343,0.00008395549,0.0005250764,0.00271234,0.0002689264,0.00008763895,0.000008880364,0.0000149385,0.003363894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1917102,"threshold_uncertainty_score":0.885059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02554377998847447,"score_gpt":0.2639998525349588,"score_spread":0.2384560725464843,"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."}}