{"id":"W2997174293","doi":"10.35791/agrsosek.16.1.2020.26939","title":"ANALISIS DAYA DUKUNG LAHAN BERDASARKAN KEBUTUHAN DAN KETERSEDIAAN LAHAN PERTANIAN DI KABUPATEN GORONTALO UTARA","year":2019,"lang":"en","type":"article","venue":"AGRI-SOSIOEKONOMI","topic":"Local Governance and Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Agriculture; Agricultural land; Geography; Forestry; Land use; Cultivated land; Agricultural science; Research method; Carrying capacity; Environmental protection; Agroforestry; Business; Environmental science; Engineering; Civil engineering; Ecology","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006238035,0.0004309884,0.0005525922,0.0001236794,0.0006457065,0.0003241549,0.0008867636,0.0003032763,0.0007232801],"category_scores_gemma":[0.00007305497,0.0003926615,0.0002673021,0.0004587783,0.0002283428,0.0008303243,0.0002499018,0.0003052659,0.001085079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007518575,"about_ca_system_score_gemma":0.0004028561,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02909714,"about_ca_topic_score_gemma":0.02304492,"domain_scores_codex":[0.9964941,0.0002132818,0.0005541907,0.0008454768,0.0007671273,0.001125895],"domain_scores_gemma":[0.9983029,0.0001469942,0.0002790375,0.0006199091,0.0001112226,0.0005398736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001024214,0.0002073451,0.9382721,0.00003412623,0.0001583738,0.00005487167,0.03286251,0.00004335198,0.002142791,0.009855353,0.004784327,0.01148241],"study_design_scores_gemma":[0.001015661,0.0001673295,0.7924431,0.0001088893,0.0000576602,0.000003960039,0.009724822,0.0001230713,0.0009294768,0.0001904838,0.194303,0.0009325393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9418228,0.0001881588,0.00002633576,0.001845743,0.001416549,0.0006107843,0.00004302455,0.000198821,0.05384782],"genre_scores_gemma":[0.9948694,0.0002534523,0.0001316073,0.0009218184,0.0006339896,0.00004931021,0.00008240271,0.00005544539,0.003002534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1895187,"threshold_uncertainty_score":0.9998525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00963690583781442,"score_gpt":0.2446154696057046,"score_spread":0.2349785637678901,"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."}}