{"id":"W4294010041","doi":"10.5751/es-13271-270324","title":"Human–elephant conflict mitigation as a public good: what determines fence maintenance?","year":2022,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public good; Business; Payment; Environmental resource management; Environmental planning; Public relations; Economics; Political science; Geography; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005049274,0.000144271,0.0002656362,0.0009344273,0.003683829,0.004209361,0.0008406799,0.0009942964,0.004283511],"category_scores_gemma":[0.01397721,0.0001597649,0.0002075721,0.001219631,0.00754089,0.006081885,0.002000865,0.0008676337,0.0001428331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004819753,"about_ca_system_score_gemma":0.004118369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007485078,"about_ca_topic_score_gemma":0.01281651,"domain_scores_codex":[0.9965755,0.002085672,0.00008568042,0.0002332883,0.0003930189,0.0006268235],"domain_scores_gemma":[0.9908915,0.005020456,0.002027888,0.0003786485,0.001040615,0.0006407772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002572402,0.0002853676,0.295717,0.001011537,0.00007576163,0.001980335,0.3720936,0.001052738,0.003720506,0.1864499,0.003981001,0.133375],"study_design_scores_gemma":[0.00001826959,0.0001654055,0.2464648,0.0008403375,0.00007404041,0.0004715683,0.6803889,0.001603353,0.001492866,0.03636032,0.0320647,0.00005549609],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9504004,0.0007599993,0.002692485,0.01173961,0.00003001206,0.00005496834,0.00007164288,0.00001025084,0.03424077],"genre_scores_gemma":[0.998983,0.0001076274,0.0003953545,0.0001358834,0.000003642673,0.00001182574,0.000007003907,0.000002375816,0.0003532731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007485078,"threshold_uncertainty_score":0.03496993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290823222106346,"score_gpt":0.2303826448627284,"score_spread":0.2174744126416649,"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."}}