{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001149532,0.001045968,0.001188371,0.0001033759,0.00125909,0.001897656,0.00188879,0.0005990744,0.005893244],"category_scores_gemma":[0.0004894124,0.0004762544,0.0007857477,0.001206355,0.0003122497,0.002277066,0.000575357,0.001644056,0.002477669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004908373,"about_ca_system_score_gemma":0.0002306626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007657588,"about_ca_topic_score_gemma":0.004685302,"domain_scores_codex":[0.9927328,0.0009039333,0.00111166,0.001752419,0.001393398,0.002105821],"domain_scores_gemma":[0.9960303,0.0008482882,0.0008331153,0.0004767395,0.0004150391,0.001396542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002873691,0.001174367,0.6656665,0.0002503642,0.000794725,0.0004222731,0.00182454,0.00004438855,0.2273409,0.0007062716,0.01269666,0.08620533],"study_design_scores_gemma":[0.0009196425,0.003741727,0.8181862,0.0002350507,0.0001891206,0.0001352031,0.006576152,0.0003529886,0.002733714,0.00004016565,0.1653658,0.001524227],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630611,0.00144508,7.589597e-7,0.01195095,0.001279802,0.001404141,0.0003372239,0.000136066,0.02038489],"genre_scores_gemma":[0.988116,0.001072525,0.00002296226,0.0003348268,0.003572525,0.00005445112,0.0003704711,0.00002199945,0.006434188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2246072,"threshold_uncertainty_score":0.9997689,"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."}}