{"id":"W4310870217","doi":"10.18280/ijsdp.170729","title":"Ecological Impacts and Socio-Legal Infrastructure as an Approach to Environmental Management in Ex-Mining Land Reclamation","year":2022,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Indonesian Legal and Regulatory Studies","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Land reclamation; Reforestation; Sustainability; Environmental planning; Environmental resource management; Land restoration; Deforestation (computer science); Context (archaeology); Livelihood; Business; Land use; Land-use planning; Agriculture; Geography; Forestry; Agroforestry; Civil engineering; Environmental science; Ecology; Engineering","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":[0.0007983174,0.00007360066,0.00010597,0.0002620789,0.0005150158,0.0001076863,0.0001389022,0.0000311866,0.00003167427],"category_scores_gemma":[0.00002575176,0.00006502485,0.00001354972,0.00008104062,0.0000460877,0.0003340954,0.0001673976,0.0001418095,2.654982e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004250602,"about_ca_system_score_gemma":0.0001027376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002788048,"about_ca_topic_score_gemma":0.000004395763,"domain_scores_codex":[0.9989879,0.00008516914,0.0002107632,0.0001077499,0.0004209542,0.0001875063],"domain_scores_gemma":[0.9997187,0.00002896458,0.0001134847,0.00001744204,0.00003980635,0.00008164415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005330206,0.0002241982,0.5447555,0.00004139544,0.0002636672,0.002873359,0.4069317,0.004660184,0.00002380844,0.0204193,0.0007253382,0.01854852],"study_design_scores_gemma":[0.0004465333,0.00005909511,0.5373164,0.00001680816,0.000005313704,0.00006895408,0.4299557,0.00003210314,0.000004925063,0.0005759209,0.03142234,0.00009597239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938431,0.0001598074,0.00004133203,0.0004852638,0.000151801,0.000117346,9.32244e-7,0.000004369535,0.005196045],"genre_scores_gemma":[0.9967045,0.00003412824,0.00211313,0.0001787591,0.0001092399,0.000007360736,0.00000633763,0.000003579861,0.0008430242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03069701,"threshold_uncertainty_score":0.3961137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068830812954388,"score_gpt":0.2619157271645508,"score_spread":0.2512274190350069,"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."}}