{"id":"W4402023876","doi":"10.33830/reksabumi.v3i1.5311.2024","title":"OPTIMALISASI KETERJANGKAUAN LAYANAN BANK SAMPAH DI WILAYAH KELURAHAN KEBAGUSAN KOTA ADMINISTRASI JAKARTA SELATAN","year":2024,"lang":"id","type":"article","venue":"REKSABUMI","topic":"Waste Management and Recycling","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Humanities; Political science; 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":[0.001708448,0.000569311,0.0005286898,0.00126027,0.001623193,0.00713635,0.0006381184,0.0008492711,0.06904327],"category_scores_gemma":[0.002257934,0.0004195487,0.0005005942,0.00193799,0.0006533138,0.002927337,0.001592847,0.001378944,0.02332564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003316297,"about_ca_system_score_gemma":0.007953702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02112007,"about_ca_topic_score_gemma":0.03520171,"domain_scores_codex":[0.9985964,0.000248327,0.0001062548,0.0002573998,0.0005586474,0.0002329169],"domain_scores_gemma":[0.9981987,0.0003620147,0.0001754016,0.0001668479,0.0008173911,0.0002797504],"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":[0.002019598,0.001107183,0.08696485,0.002309515,0.0001622098,0.001639804,0.006455984,0.005550856,0.0244815,0.04629789,0.1932027,0.6298078],"study_design_scores_gemma":[0.00007821561,0.0002656092,0.07801514,0.0005682445,0.0001369821,0.0005677289,0.009816032,0.003655255,0.01446953,0.00694506,0.8853715,0.0001107237],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1895369,0.007712978,0.01629363,0.01221685,0.001236597,0.000612624,0.009921948,0.002117433,0.760351],"genre_scores_gemma":[0.5341789,0.01006435,0.0232735,0.001518121,0.0003376157,0.0004898083,0.006852682,0.0007319716,0.422553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06904327,"threshold_uncertainty_score":0.2309728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167608297413451,"score_gpt":0.2559248421735389,"score_spread":0.2391640124321938,"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."}}