{"id":"W6997416447","doi":"","title":"Xóa bỏ khoảng cách: Hướng tới đánh giá tác động xã hội toàn diện và công bằng trong bảo tồn","year":2025,"lang":"vi","type":"article","venue":"PhilPapers (PhilPapers Foundation)","topic":"Research studies in Vietnam","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Southeast asia; Ho chi minh; Central asia; Tanzania; Government (linguistics)","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":[0.000633419,0.0003128394,0.0001812417,0.000393361,0.002204009,0.002343122,0.0005074467,0.0009559609,0.04902321],"category_scores_gemma":[0.0008623251,0.0002594777,0.000196751,0.001038669,0.0005957939,0.001083997,0.001011856,0.001381617,0.004269584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009651639,"about_ca_system_score_gemma":0.01752381,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.579763,"about_ca_topic_score_gemma":0.8076617,"domain_scores_codex":[0.9997696,0.00003471983,0.000006532185,0.00003114433,0.00008036017,0.00007766937],"domain_scores_gemma":[0.9994773,0.00004065154,0.00002525074,0.00001727073,0.00021076,0.0002287023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001585499,0.00006546673,0.01835403,0.0005494133,0.00003517044,0.0006600364,0.005784498,0.0002496034,0.00198057,0.02149028,0.8472592,0.1034132],"study_design_scores_gemma":[0.000009566384,0.00001740834,0.01910599,0.0001145602,0.000006470248,0.00004092206,0.002690805,0.00005682132,0.0003985844,0.0005451009,0.9770005,0.00001332899],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07308337,0.02398688,0.002250647,0.1320758,0.008808052,0.0006680576,0.02818886,0.0005180881,0.7304201],"genre_scores_gemma":[0.1944771,0.007173094,0.002701662,0.005971539,0.000191231,0.0002815179,0.006631975,0.00020056,0.7823713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.579763,"threshold_uncertainty_score":0.8454237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049169797191131,"score_gpt":0.2993239285227375,"score_spread":0.2888322305508262,"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."}}