{"id":"W156401941","doi":"10.29244/jitl.13.1.25-34","title":"IDENTIFIKASI LAHAN TERSEDIA DENGAN TEKNOLOGI INFORMASI SPASIAL UNTUK MENDUKUNG REFORMA AGRARIA: STUDI KASUS PROVINSI RIAU DAN JAWA BARAT","year":2011,"lang":"id","type":"article","venue":"Jurnal Ilmu Tanah dan Lingkungan","topic":"Local Governance and Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Forestry; Mathematics; Geography; Horticulture; Humanities; Art; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002480324,0.001252771,0.001398309,0.000460622,0.002733716,0.000998208,0.002270618,0.001058516,0.00005207746],"category_scores_gemma":[0.0008297014,0.001101218,0.0006528766,0.001691987,0.001230241,0.002882723,0.000900538,0.002118629,0.000343905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001754002,"about_ca_system_score_gemma":0.002435079,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003306442,"about_ca_topic_score_gemma":0.01977453,"domain_scores_codex":[0.9905335,0.0006070482,0.002295877,0.001356128,0.002573542,0.002633945],"domain_scores_gemma":[0.9950002,0.000168453,0.001782096,0.001034118,0.0006964504,0.001318685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002426437,0.004224075,0.3141907,0.0007947139,0.004474606,0.005193362,0.4495834,0.00002281455,0.01202275,0.1127348,0.02363835,0.070694],"study_design_scores_gemma":[0.006000598,0.002313544,0.3515068,0.001227853,0.001210489,0.0002186832,0.1029337,0.0001000647,0.04063637,0.0008208585,0.4886777,0.004353371],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.918863,0.001334531,0.00007815052,0.0007887971,0.009528249,0.001625582,0.00004328688,0.0004095827,0.06732882],"genre_scores_gemma":[0.9846731,0.001589049,0.0007962275,0.000878031,0.002818422,0.00007660531,0.00006663484,0.0001278843,0.008974046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4650393,"threshold_uncertainty_score":0.9991438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03770415823917032,"score_gpt":0.2639938275865172,"score_spread":0.2262896693473469,"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."}}