{"id":"W4394926879","doi":"10.1111/csp2.13118","title":"Closing staffing gaps in Madagascar's protected areas to achieve the 30 by 30 conservation target","year":2024,"lang":"en","type":"article","venue":"Conservation Science and Practice","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Staffing; Workforce; Biodiversity; Business; Pillar; Sustainability; Environmental resource management; Ecosystem services; Environmental planning; Geography; Ecosystem; Natural resource economics; Ecology; Economic growth; Management; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004035373,0.0001445064,0.0001023129,0.0001423007,0.0008019228,0.0006895261,0.0003526023,0.00004997775,0.0003916803],"category_scores_gemma":[0.001986164,0.0001150317,0.00001974676,0.002114237,0.0004958918,0.00160407,0.0003611501,0.000202882,0.0002304938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002716136,"about_ca_system_score_gemma":0.0001360795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002317371,"about_ca_topic_score_gemma":0.000201542,"domain_scores_codex":[0.9978727,0.0002339571,0.0002652225,0.0005375782,0.0007860051,0.0003045776],"domain_scores_gemma":[0.9986931,0.0007247376,0.000108712,0.0002547775,0.0001122081,0.0001064846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004917348,0.0003631228,0.5661972,0.0001876554,0.00007000146,0.0000845609,0.02996979,0.00188375,0.1117501,0.001619156,0.2221249,0.065258],"study_design_scores_gemma":[0.0002043318,0.00007903277,0.2350247,0.00006701245,0.000027517,0.00001476897,0.003763797,0.01460553,0.000578528,0.0003712281,0.7450287,0.0002348941],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8426635,0.000222167,0.002256175,0.1461869,0.0001937331,0.0009146341,0.00001054024,0.00008277722,0.007469621],"genre_scores_gemma":[0.9662963,0.0001394649,0.003226847,0.02876204,0.00005389042,0.00007920624,0.00001689983,0.00001538321,0.001410009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5229037,"threshold_uncertainty_score":0.6649116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02114244898736364,"score_gpt":0.266680071843474,"score_spread":0.2455376228561103,"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."}}