{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001083299,0.001232693,0.001170178,0.0001608937,0.002056419,0.0008627836,0.001494171,0.0008433789,0.0003563593],"category_scores_gemma":[0.0003249893,0.0005858565,0.0006873361,0.002612874,0.0003141944,0.001226062,0.0007126636,0.00212468,0.0005326248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003258282,"about_ca_system_score_gemma":0.0001031538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00136387,"about_ca_topic_score_gemma":0.004674638,"domain_scores_codex":[0.9919941,0.000611253,0.001301734,0.001745859,0.001725153,0.002621941],"domain_scores_gemma":[0.9964057,0.0006079368,0.0006016977,0.0004814049,0.0007180042,0.001185286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003232587,0.0006199469,0.6716691,0.0001930908,0.001196464,0.001103245,0.005160233,0.00004639595,0.1598662,0.00131827,0.09368506,0.06481875],"study_design_scores_gemma":[0.0008311193,0.0003576289,0.8631747,0.0002743181,0.0002237919,0.0001889487,0.005664395,0.0001344216,0.003899741,0.0002259392,0.1234814,0.001543495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840521,0.001245116,3.556743e-7,0.005149746,0.001119434,0.0008891908,0.001064446,0.001139234,0.00534044],"genre_scores_gemma":[0.9876003,0.0007030935,0.00005130135,0.0006781137,0.003399317,0.00007904688,0.003706625,0.0000321165,0.003750036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1915057,"threshold_uncertainty_score":0.9996593,"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."}}