{"id":"W2945188069","doi":"10.20956/jsep.v15i1.6369","title":"ANALISIS KESEPAKATAN PENINGKATAN PRODUKTIVITAS KOPI ARABIKA PADA PENGEMBANGAN KAWASAN DI KABUPATEN TORAJA UTARA","year":2019,"lang":"id","type":"article","venue":"Jurnal Sosial Ekonomi Pertanian","topic":"Agricultural Research and Practices","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Agricultural science; Mathematics; Physics; Environmental science","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":[0.001268203,0.000919325,0.0007182244,0.001926802,0.001166836,0.003188486,0.0005925185,0.0007451568,0.01496039],"category_scores_gemma":[0.00157043,0.000370792,0.0008978457,0.002216531,0.0006757646,0.00113629,0.000850212,0.001454095,0.003739689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223425,"about_ca_system_score_gemma":0.002079784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01167804,"about_ca_topic_score_gemma":0.02879019,"domain_scores_codex":[0.9984622,0.0002328016,0.000120985,0.0002976544,0.000669669,0.0002167414],"domain_scores_gemma":[0.9980234,0.0005161008,0.000306588,0.0001107883,0.0009244195,0.0001187378],"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":[0.004056945,0.001675686,0.3180389,0.01069354,0.0008872485,0.003466985,0.01331267,0.001492723,0.1617683,0.005789365,0.01686936,0.4619483],"study_design_scores_gemma":[0.00004488719,0.002570544,0.5102715,0.001840834,0.0009482544,0.002800361,0.03377279,0.0008195695,0.1098105,0.002666481,0.3342499,0.000204375],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8661767,0.02671965,0.004603091,0.001255745,0.0003702172,0.000636033,0.01192922,0.0001800415,0.0881294],"genre_scores_gemma":[0.8827655,0.01653128,0.007264664,0.0007749921,0.00007346296,0.0004525566,0.005725646,0.0001625352,0.0862495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01496039,"threshold_uncertainty_score":0.05004746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02485750230413223,"score_gpt":0.2598927776183725,"score_spread":0.2350352753142403,"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."}}