{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009326766,0.0009503785,0.0007114001,0.0002717448,0.0006092151,0.001252652,0.001318449,0.0004613591,0.004828827],"category_scores_gemma":[0.00006474844,0.0008821627,0.0005737843,0.001128907,0.0006681064,0.000967782,0.0009924808,0.0009398445,0.008782054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005164194,"about_ca_system_score_gemma":0.00007896875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003530348,"about_ca_topic_score_gemma":0.0003369866,"domain_scores_codex":[0.9941839,0.000281425,0.0009898586,0.001830052,0.001135305,0.001579461],"domain_scores_gemma":[0.9975304,0.0002522029,0.0002206592,0.001293446,0.00001686491,0.0006864012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006823405,0.003565999,0.1209083,0.006565498,0.003420833,0.01126684,0.01994476,0.003689424,0.0887866,0.01635235,0.3346843,0.3901328],"study_design_scores_gemma":[0.001088019,0.0009767553,0.04219128,0.001927379,0.0008259216,0.0001979875,0.002012847,0.02456565,0.007700099,0.0002702161,0.9155836,0.002660245],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8154434,0.007828443,0.0004715306,0.004120856,0.005358729,0.001459586,0.0002484141,0.0007698461,0.1642992],"genre_scores_gemma":[0.9490872,0.00188843,0.0005728205,0.0002832492,0.000773505,0.00003372617,0.0001568298,0.0001843603,0.04701985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5808993,"threshold_uncertainty_score":0.9997842,"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."}}