{"id":"W4320917071","doi":"10.18280/ijsdp.180110","title":"Geospatial Modeling of Environmental Carrying Capacity for Sustainable Agriculture Using GIS","year":2023,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Lampung","keywords":"Geospatial analysis; Geographic information system; Environmental planning; Environmental resource management; Agriculture; GIS applications; Environmental science; Carrying capacity; Geography; Remote sensing; Ecology","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":[0.0007377964,0.0001100661,0.0001915287,0.0001872225,0.0002083765,0.00005477684,0.0001949433,0.00004903304,0.00006588938],"category_scores_gemma":[0.000122264,0.00009045706,0.0000809105,0.0001799484,0.00004436606,0.0004428815,0.0001658748,0.000103222,0.000001084814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004388583,"about_ca_system_score_gemma":0.00004636611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000320751,"about_ca_topic_score_gemma":0.000008302505,"domain_scores_codex":[0.9987161,0.00002242322,0.0004108388,0.0001366916,0.000430257,0.0002837203],"domain_scores_gemma":[0.9994873,0.00007673999,0.0002204487,0.00004260753,0.00010237,0.00007058024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003384443,0.0001315117,0.2035361,0.0001630173,0.0005322084,0.0008967642,0.0352623,0.7499409,0.002631216,0.0004952362,0.0005719125,0.005500291],"study_design_scores_gemma":[0.003241473,0.0001846549,0.1058279,0.0002693189,0.0002520166,0.0002263257,0.4933669,0.3641489,0.004233341,0.01145689,0.01581864,0.0009736299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889497,0.00007163989,0.0105217,0.00005599534,0.00007850164,0.00009611085,0.000004433115,0.000007190886,0.0002147107],"genre_scores_gemma":[0.9951932,0.00001398586,0.004156835,0.00001976069,0.00008373647,0.000002712855,0.00001593993,0.000006781802,0.0005069773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4581046,"threshold_uncertainty_score":0.3688732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008817634657328,"score_gpt":0.2371967038818145,"score_spread":0.2171085275352413,"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."}}