{"id":"W2590906973","doi":"10.22500/sodality.v3i2.11337","title":"KESESUAIAN SOSIAL EKONOMIPERLINDUNGAN LAHAN PERTANIAN PANGAN BERKELANJUTAN DI KABUPATEN KUNINGAN","year":2016,"lang":"en","type":"article","venue":"Sodality Jurnal Sosiologi Pedesaan","topic":"Agricultural Development and Management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Socioeconomic status; Agriculture; Government (linguistics); Business; Food security; Geography; Agricultural economics; Agricultural science; Agricultural land; Socioeconomics; Economics; Population","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":[],"consensus_categories":[],"category_scores_codex":[0.0006565925,0.0005038496,0.0004973655,0.0000342745,0.0008760829,0.0001882796,0.0008799962,0.0003114512,0.0006962226],"category_scores_gemma":[0.0001276671,0.0001520709,0.0003151653,0.0003563237,0.0002287737,0.0003848638,0.0003872935,0.0002999658,0.000236639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001947752,"about_ca_system_score_gemma":0.00002813858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005244836,"about_ca_topic_score_gemma":0.002277978,"domain_scores_codex":[0.9967754,0.0003048705,0.0006431711,0.0008235154,0.000438484,0.001014509],"domain_scores_gemma":[0.9987433,0.0002244483,0.0002899274,0.0001768021,0.0001284452,0.0004370835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001459527,0.0002224995,0.3789864,0.00001237839,0.0001139996,0.00004056149,0.0003232216,0.000001013432,0.4022081,0.002800863,0.001853561,0.2132914],"study_design_scores_gemma":[0.0004136928,0.0004214437,0.9582787,0.00006022412,0.00003791736,0.00001695534,0.0007252974,0.000005501294,0.003129424,0.001110203,0.03515269,0.0006479625],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985012,0.00006377693,0.00001732618,0.01042452,0.0004459748,0.0004453743,0.00007464898,0.0003501856,0.003166187],"genre_scores_gemma":[0.9954787,0.0001506942,0.00009217622,0.0004863983,0.0009634021,0.0000429604,0.0001461701,0.000004909417,0.00263455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5792922,"threshold_uncertainty_score":0.762315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971100442907716,"score_gpt":0.2041602292960457,"score_spread":0.1844492248669685,"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."}}