{"id":"W4316653821","doi":"10.36762/jurnaljateng.v20i2.1009","title":"Dampak Program Terhadap Peningkatan Produksi Kedelai di Jawa Tengah","year":2023,"lang":"en","type":"article","venue":"Jurnal Litbang Provinsi Jawa Tengah","topic":"Agricultural Development and Management","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Sowing; Agricultural science; Production (economics); Government (linguistics); Crop; Data presentation; Data collection; Business; Geography; Agronomy; Mathematics; Biology; Economics; Forestry; Statistics","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":[0.000618788,0.0002422673,0.0001615369,0.0003450813,0.0007187507,0.0009357893,0.0003769991,0.0002396667,0.01949755],"category_scores_gemma":[0.0006500256,0.0001065655,0.0001753659,0.0004919171,0.0002145407,0.0006256605,0.0007275507,0.0006113991,0.001801808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007864618,"about_ca_system_score_gemma":0.002689636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003276134,"about_ca_topic_score_gemma":0.007158341,"domain_scores_codex":[0.9996815,0.00007638902,0.00002032851,0.00004036482,0.0001015616,0.00007987053],"domain_scores_gemma":[0.9994121,0.0001339988,0.0001038778,0.00003445854,0.0001306443,0.0001848826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007540433,0.005321302,0.1060386,0.00327163,0.00007717707,0.002811683,0.01217704,0.001763047,0.01927825,0.008374465,0.029911,0.8102217],"study_design_scores_gemma":[0.0001668562,0.002518654,0.5367441,0.001531063,0.0002431374,0.001391232,0.04160793,0.004028962,0.0218287,0.002951443,0.3868863,0.0001015794],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8495564,0.001785963,0.003080987,0.002520637,0.000242706,0.0004731892,0.0007796,0.0002422978,0.1413181],"genre_scores_gemma":[0.9467531,0.001753511,0.003763517,0.0003230004,0.00003264787,0.0001991616,0.0003935763,0.00003564671,0.04674601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01949755,"threshold_uncertainty_score":0.06522578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02320352718541237,"score_gpt":0.2304481001021099,"score_spread":0.2072445729166975,"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."}}