{"id":"W4205556464","doi":"10.24252/teknosains.v15i3.20264","title":"OPTIMALISASI PENGEMBANGAN KAWASAN AGROPOLITAN MALALO MELALUI PEMETAAN KOMODITAS UNGGULAN","year":2021,"lang":"id","type":"article","venue":"TEKNOSAINS MEDIA INFORMASI SAINS DAN TEKNOLOGI","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; Business; 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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001007246,0.001854287,0.002020022,0.0002198276,0.002014077,0.0007096626,0.002076378,0.001788194,0.001364655],"category_scores_gemma":[0.002123789,0.0009077034,0.001128774,0.003281231,0.001450085,0.001230419,0.001761949,0.002451231,0.0008425265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006182214,"about_ca_system_score_gemma":0.0003497463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001738376,"about_ca_topic_score_gemma":0.003486712,"domain_scores_codex":[0.9906775,0.000732644,0.00203039,0.001807607,0.001575942,0.003175913],"domain_scores_gemma":[0.9947554,0.001169683,0.000943907,0.0008652157,0.0009951314,0.001270615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003423557,0.004582057,0.0770294,0.000711677,0.00387128,0.006469513,0.02340273,0.0000729674,0.06402597,0.05220733,0.6074763,0.1598084],"study_design_scores_gemma":[0.001551454,0.001708673,0.1982763,0.0003680331,0.0007095301,0.0008818898,0.09386717,0.00004927575,0.01794025,0.0002546954,0.6814772,0.002915486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8942989,0.008467602,0.000006146625,0.01507199,0.003215989,0.001171714,0.0006209403,0.0009783573,0.07616844],"genre_scores_gemma":[0.9564523,0.004464751,0.0007472383,0.002406449,0.005361052,0.00009739138,0.004164579,0.00003749422,0.02626878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1568929,"threshold_uncertainty_score":0.9999354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03128087672162478,"score_gpt":0.2340475850320201,"score_spread":0.2027667083103953,"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."}}