{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009450517,0.0009633542,0.0007213318,0.001079193,0.0008686412,0.003733667,0.0007211596,0.0007638391,0.0130391],"category_scores_gemma":[0.001750718,0.0005661151,0.0008571388,0.001152884,0.0006182713,0.002650148,0.001360254,0.001081879,0.003957326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001145342,"about_ca_system_score_gemma":0.002531561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007660087,"about_ca_topic_score_gemma":0.02079462,"domain_scores_codex":[0.9990693,0.0001549132,0.00005710173,0.0002140961,0.0003696998,0.0001349865],"domain_scores_gemma":[0.9987448,0.0004093521,0.0001490884,0.0001371563,0.000445268,0.0001142278],"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":[0.001329581,0.0007362764,0.03852667,0.004817839,0.0003130255,0.001297043,0.004380205,0.01586035,0.3317998,0.0279062,0.01336808,0.5596648],"study_design_scores_gemma":[0.0001683354,0.001721921,0.1110537,0.0010639,0.001134797,0.001621737,0.0152859,0.04890361,0.2338845,0.0285773,0.5561765,0.000407678],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4870865,0.01812247,0.1971117,0.005113653,0.000585596,0.000766042,0.002513654,0.005434153,0.2832662],"genre_scores_gemma":[0.8057097,0.01048012,0.1035051,0.0005899153,0.00009843134,0.0003486091,0.001641619,0.0008573744,0.07676917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0130391,"threshold_uncertainty_score":0.04362005,"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."}}