{"id":"W4393243007","doi":"10.31186/naturalis.12.1.26715","title":"Evaluasi Kesesuaian Lahan Sawah Berdasarkan Status Hara di Kecamatan Seluma Selatan Kabupaten Seluma","year":2023,"lang":"en","type":"article","venue":"Naturalis Jurnal Penelitian Pengelolaan Sumber Daya Alam dan Lingkungan","topic":"Agriculture and Agroindustry Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Forestry; Geography","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":[0.0004631039,0.0003272793,0.0002136034,0.0009367553,0.0004180114,0.0007389333,0.0001599613,0.0001436062,0.003254955],"category_scores_gemma":[0.000470681,0.00009574512,0.0002020951,0.0008566779,0.000248424,0.0005014562,0.0003877642,0.0001416452,0.0004243681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004746843,"about_ca_system_score_gemma":0.0006672413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005390897,"about_ca_topic_score_gemma":0.03374408,"domain_scores_codex":[0.9998001,0.00004975359,0.00001805673,0.00003059298,0.00006913811,0.00003224063],"domain_scores_gemma":[0.9997293,0.00005793995,0.00004508634,0.0000134195,0.000123714,0.00003053075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002421232,0.0001893356,0.8321147,0.0003597773,0.00009425065,0.0009109522,0.004272138,0.001271246,0.02079319,0.0009359303,0.001463377,0.137353],"study_design_scores_gemma":[0.000009104181,0.0003098919,0.9625592,0.00008668903,0.00007206436,0.0004443567,0.01197107,0.001751044,0.00573396,0.0008297662,0.01621488,0.00001804219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915056,0.0003826173,0.0007387616,0.00006799332,0.000006456855,0.00003688472,0.0003034866,0.0000117544,0.00694645],"genre_scores_gemma":[0.9916822,0.0005248975,0.002757639,0.0000255876,0.000005575182,0.0000413503,0.000574791,0.000006960191,0.004381018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005390897,"threshold_uncertainty_score":0.01088887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02888971300888248,"score_gpt":0.2563523054209679,"score_spread":0.2274625924120854,"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."}}