{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006219403,0.0005243077,0.0005902871,0.001818586,0.001112479,0.002421218,0.0003913935,0.0005286182,0.00538046],"category_scores_gemma":[0.0008302156,0.0003166566,0.0004859146,0.002672161,0.000615169,0.0007105606,0.0007761772,0.0007904062,0.001325327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008510959,"about_ca_system_score_gemma":0.0009559563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01880469,"about_ca_topic_score_gemma":0.04458242,"domain_scores_codex":[0.9992961,0.00007727397,0.00005096948,0.000208989,0.0002582408,0.0001084316],"domain_scores_gemma":[0.9992189,0.0001522751,0.0001704299,0.00004785707,0.0003495624,0.00006080506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007905004,0.0002773966,0.6582214,0.001627681,0.0003568912,0.002485102,0.01339007,0.000637716,0.2077599,0.001372512,0.002016025,0.1110648],"study_design_scores_gemma":[0.000006485393,0.0004780164,0.9237479,0.0001184457,0.0001604964,0.001138459,0.0127721,0.0003418057,0.02625889,0.000414311,0.03452801,0.00003512985],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766143,0.002874649,0.00196761,0.0001772347,0.0000465398,0.00013153,0.002805432,0.00006381788,0.01531883],"genre_scores_gemma":[0.9597622,0.002807133,0.003938555,0.0001671892,0.00001648673,0.0001479798,0.002888966,0.00004910308,0.03022244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01880469,"threshold_uncertainty_score":0.03739047,"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."}}