{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008589465,0.0003256779,0.0003650206,0.001885602,0.0008522016,0.00110847,0.0003773097,0.0002473333,0.008465304],"category_scores_gemma":[0.001349445,0.0001523832,0.0002844439,0.00245036,0.0005833218,0.0008236094,0.0007522101,0.0003889503,0.0008810439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054816,"about_ca_system_score_gemma":0.001545539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01414989,"about_ca_topic_score_gemma":0.0333033,"domain_scores_codex":[0.9994254,0.0001115516,0.00005274221,0.00008548292,0.0002314036,0.00009342375],"domain_scores_gemma":[0.9993365,0.0002144675,0.0001018417,0.00002721393,0.0002640905,0.00005573645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003600153,0.0002627973,0.6046571,0.002497404,0.0002183564,0.005290294,0.06802068,0.001004676,0.0104293,0.00754172,0.0106994,0.2890183],"study_design_scores_gemma":[0.000008639953,0.0001410006,0.7876689,0.0004675318,0.00009221998,0.001528411,0.1355725,0.0007842205,0.002455934,0.0009544523,0.07028469,0.00004136872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805362,0.002094083,0.0008816379,0.0003935678,0.00004916935,0.00008303492,0.0007690787,0.00003176338,0.01516149],"genre_scores_gemma":[0.9858477,0.00164591,0.002209328,0.00009238641,0.00001694716,0.0001021101,0.0009685499,0.00001563332,0.009101466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01414989,"threshold_uncertainty_score":0.02831924,"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."}}