{"id":"W4415331926","doi":"10.24252/teknosains.v19i2.49287","title":"Analisis daya dukung lahan permukiman berbasis kesesuaian lahan Kecamatan Sinjai Utara Kabupaten Sinjai","year":2025,"lang":"","type":"article","venue":"TEKNOSAINS MEDIA INFORMASI SAINS DAN TEKNOLOGI","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Carbon stock; Land use; Hydrology (agriculture); Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001673919,0.000639693,0.0007037611,0.001348654,0.001232667,0.002306847,0.0005635091,0.0008084317,0.00844466],"category_scores_gemma":[0.00231285,0.0003776536,0.0008575991,0.001287823,0.0005925535,0.001102966,0.0008870711,0.001187603,0.001868827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334089,"about_ca_system_score_gemma":0.001965256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0297472,"about_ca_topic_score_gemma":0.04979635,"domain_scores_codex":[0.998231,0.0004322579,0.0001471911,0.0003644261,0.0005729573,0.0002521701],"domain_scores_gemma":[0.9983374,0.0003586185,0.0002906157,0.0001005126,0.0007903039,0.000122524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001601903,0.0006356143,0.7721696,0.00321537,0.0007462016,0.001791014,0.01300794,0.0003860818,0.02010446,0.002373839,0.01810371,0.1658642],"study_design_scores_gemma":[0.00003816942,0.0009641132,0.8440425,0.001207152,0.0007277935,0.002019833,0.02103265,0.000658397,0.01172835,0.00152253,0.1159646,0.00009400101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9135292,0.02124081,0.004319365,0.003173486,0.0004215554,0.0003939275,0.01060538,0.000226331,0.04608995],"genre_scores_gemma":[0.9246978,0.009929871,0.006150393,0.001340577,0.0001335159,0.0003465241,0.005119097,0.00009052717,0.05219172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0297472,"threshold_uncertainty_score":0.05914807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389877778611572,"score_gpt":0.2329366864321165,"score_spread":0.2090379086460008,"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."}}