{"id":"W4412411085","doi":"10.51878/cendekia.v5i3.6174","title":"ANALISIS HUBUNGAN INDEKS PEMBANGUNAN MANUSIA, JUMLAH PENDUDUK, DAN PEREKONOMIAN TERHADAP TIMBULAN SAMPAH DI SULAWESI UTARA","year":2025,"lang":"en","type":"article","venue":"CENDEKIA Jurnal Ilmu Pengetahuan","topic":"Waste Management and Recycling","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007771179,0.0002588434,0.0002751592,0.001639734,0.0005959867,0.001053654,0.0002325325,0.0002223968,0.007538727],"category_scores_gemma":[0.0008234776,0.0001427382,0.0002794107,0.002022454,0.0004562631,0.0005056373,0.0005028213,0.0003968785,0.001044366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000626664,"about_ca_system_score_gemma":0.0008299751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01237917,"about_ca_topic_score_gemma":0.0349126,"domain_scores_codex":[0.9997295,0.00005424797,0.00002778754,0.0000488866,0.00009032817,0.00004925645],"domain_scores_gemma":[0.9995264,0.0001308667,0.00009119426,0.00002660729,0.0001816723,0.00004328958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000263867,0.0001754512,0.8228147,0.0006445476,0.0001590485,0.001656012,0.0213988,0.0002339958,0.006670416,0.001735134,0.005053996,0.139194],"study_design_scores_gemma":[0.000003250725,0.00008088268,0.9378461,0.0001438725,0.00007469911,0.0006821526,0.03684406,0.0003415564,0.002002054,0.0003068364,0.02165897,0.0000155717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893206,0.001818748,0.0005704717,0.0003738871,0.00002664086,0.00003928094,0.0008213496,0.00001601155,0.007012924],"genre_scores_gemma":[0.9868698,0.001689211,0.0011475,0.000086101,0.0000161493,0.00004673652,0.0008815388,0.0000118204,0.009251321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01237917,"threshold_uncertainty_score":0.02521956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116094203452444,"score_gpt":0.2366771533405301,"score_spread":0.2255162113060056,"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."}}