{"id":"W2807492882","doi":"10.25077/logista.1.2.33-40.2017","title":"PEMBERDAYAAN MASYARAKAT MELALUI OPTIMALISASI PEMANFAATAN Trichoderma sp SEBAGAI DEKOMPOSER LIMBAH SERASAH KARET DAN PERANANNYA DALAM MENGENDALIKAN PENYAKIT JAMUR AKAR PUTIH","year":2017,"lang":"id","type":"article","venue":"LOGISTA - Jurnal Ilmiah Pengabdian kepada Masyarakat","topic":"Agricultural and Environmental Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Physics; Horticulture; 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","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.003326628,0.002820844,0.002624229,0.0004731675,0.01226393,0.005639103,0.006828931,0.001396862,0.00295575],"category_scores_gemma":[0.0005033869,0.002495457,0.001695393,0.0008629255,0.003634631,0.004653201,0.003044739,0.003121698,0.002037224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00227054,"about_ca_system_score_gemma":0.0004389672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006263714,"about_ca_topic_score_gemma":0.0106307,"domain_scores_codex":[0.9831197,0.002079834,0.002631916,0.003647395,0.004043871,0.004477294],"domain_scores_gemma":[0.9902459,0.0004618181,0.002523527,0.003618423,0.0003749857,0.002775353],"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":[0.007883698,0.01276805,0.2908395,0.0052255,0.01141485,0.03178852,0.1269002,0.00572788,0.02491119,0.08452936,0.3055781,0.09243313],"study_design_scores_gemma":[0.006120828,0.001515992,0.3356164,0.0008426279,0.00195895,0.0003489631,0.04145271,0.001383272,0.001948079,0.0005173064,0.6020533,0.00624159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7703766,0.003241734,0.0001408876,0.03092251,0.005996048,0.004430827,0.0006839084,0.0006060702,0.1836014],"genre_scores_gemma":[0.875412,0.005708911,0.0008072689,0.001331415,0.003672861,0.0001850429,0.0005307874,0.0002765972,0.1120751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2964751,"threshold_uncertainty_score":0.9998995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03587998528879163,"score_gpt":0.2863891678774887,"score_spread":0.2505091825886971,"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."}}