{"id":"W3114646669","doi":"10.32832/abdidos.v3i2.323","title":"PENANGGULANGAN SAMPAH RUMAH TANGGA DAN POTENSI BAHAYA BANJIR DI LINGKUNGAN MASYARAKAT KAMPUNG CIASEUPAN DESA CIBITUNG KULON","year":2019,"lang":"id","type":"article","venue":"Abdi Dosen Jurnal Pengabdian Pada Masyarakat","topic":"Waste Management and Recycling","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Forestry; Physics; Humanities; Geography; Art","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":[0.0002233919,0.0007760907,0.0004550499,0.0007143068,0.001640092,0.00191062,0.0004471183,0.0005142101,0.02907766],"category_scores_gemma":[0.0002501369,0.0002833029,0.0003241295,0.001253593,0.0007090593,0.0007731572,0.0009454366,0.0009625042,0.003426641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001677578,"about_ca_system_score_gemma":0.001865129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02057758,"about_ca_topic_score_gemma":0.06717611,"domain_scores_codex":[0.9998302,0.00002721886,0.000007062536,0.00004665005,0.00003844772,0.0000503461],"domain_scores_gemma":[0.99986,0.00002848932,0.00002537846,0.00001243138,0.00004197498,0.00003166985],"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":[0.001555257,0.0005495308,0.03465859,0.003720452,0.0003142236,0.009731322,0.01636114,0.001855969,0.1589457,0.04381347,0.0219254,0.7065689],"study_design_scores_gemma":[0.00006268352,0.0003503702,0.05870058,0.0006313718,0.0001762313,0.002279784,0.01442262,0.0007074313,0.02143873,0.00444537,0.8966901,0.0000946233],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5079004,0.05075603,0.01347585,0.004613556,0.001613648,0.0003195409,0.003593954,0.0009740036,0.4167531],"genre_scores_gemma":[0.7845094,0.01510515,0.010665,0.0007822026,0.00009737162,0.0001514487,0.001441329,0.0002271811,0.1870209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02907766,"threshold_uncertainty_score":0.09727442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00986267300185748,"score_gpt":0.2120081448912076,"score_spread":0.2021454718893501,"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."}}