{"id":"W2977034096","doi":"10.24843/bum.2019.v18.i01.p16","title":"VERMIKOMPOS SAMPAH TANAMAN GULMA DANAU MENGGUNAKAN DECOMPOSER CACING TANAH UNTUK MENGHASILKAN PUPUK ORGANIK","year":2019,"lang":"id","type":"article","venue":"Buletin Udayana Mengabdi","topic":"Blockchain Technology in Education and Learning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Physics; Forestry; Humanities; Art; Geography","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","insufficient_payload"],"category_scores_codex":[0.002612214,0.001328878,0.001445542,0.001000534,0.001310287,0.0007822058,0.004147435,0.001055698,0.005979943],"category_scores_gemma":[0.0005218052,0.001467405,0.0004358275,0.002317379,0.00044697,0.0006073668,0.001424703,0.002818746,0.01054796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008406065,"about_ca_system_score_gemma":0.0009779196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006735538,"about_ca_topic_score_gemma":0.0003446501,"domain_scores_codex":[0.9906954,0.001234937,0.001641714,0.002670234,0.001383196,0.002374537],"domain_scores_gemma":[0.9930817,0.000841265,0.00104595,0.003687258,0.0005030733,0.0008406943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004516433,0.005574967,0.144011,0.002223914,0.004012225,0.001328602,0.07608008,0.005180677,0.07538295,0.2910236,0.2578102,0.1369201],"study_design_scores_gemma":[0.005052459,0.001329192,0.01893656,0.0009581668,0.0003892619,0.0004257833,0.009386554,0.02474345,0.01791947,0.001340778,0.9151759,0.00434239],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8873894,0.003760969,0.01342393,0.04260945,0.01208492,0.003005155,0.00004673058,0.002512852,0.0351666],"genre_scores_gemma":[0.9702836,0.0003060748,0.009093809,0.003270142,0.0005109372,0.00006637177,0.00007370269,0.0002166559,0.01617876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6573657,"threshold_uncertainty_score":0.9999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007165948247430931,"score_gpt":0.2293345553233652,"score_spread":0.2221686070759343,"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."}}