{"id":"W4409651166","doi":"10.51978/japp.v25i1.920","title":"Analisis penerapan teknologi pertanian dalam sistem budidaya tanaman pangan untuk peningkatan produksi dan pendapatan usahatani di Kabupaten Pangkajene dan Kepulauan (Pangkep)","year":2025,"lang":"id","type":"article","venue":"Agrokompleks","topic":"Agriculture and Agroindustry Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Agricultural science; Biology","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":["metaepi_narrow"],"category_scores_codex":[0.0008345756,0.001922671,0.002192298,0.000190439,0.003418771,0.001036111,0.002681408,0.001164481,0.0003952213],"category_scores_gemma":[0.0003454125,0.0009360976,0.0009800823,0.003277873,0.000888835,0.0008013917,0.001533175,0.001580535,0.0001233317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004742169,"about_ca_system_score_gemma":0.000136266,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003529968,"about_ca_topic_score_gemma":0.02016398,"domain_scores_codex":[0.9903291,0.0008389878,0.001852757,0.003135904,0.001192138,0.002651078],"domain_scores_gemma":[0.9961432,0.0005253298,0.0009396881,0.001009484,0.0006300515,0.0007522998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002219253,0.001474561,0.76102,0.0003369056,0.001684678,0.0004803524,0.002287356,0.00001601904,0.1696778,0.01017522,0.03431037,0.01831483],"study_design_scores_gemma":[0.0007704416,0.001068401,0.8503929,0.000549553,0.0007341069,0.00007540147,0.0278343,0.00007771696,0.007506127,0.00008050212,0.1090123,0.001898301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9553128,0.004177497,0.000007407071,0.01867208,0.001275337,0.00174883,0.0003336279,0.000602741,0.01786969],"genre_scores_gemma":[0.9716514,0.0008258548,0.0000631943,0.0008046288,0.00178908,0.0001711742,0.001762247,0.00003054865,0.02290189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1621716,"threshold_uncertainty_score":0.9993517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02457525297892565,"score_gpt":0.2386194418145346,"score_spread":0.214044188835609,"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."}}