{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007806731,0.0006253678,0.0006264248,0.0003520229,0.0007096702,0.0003812954,0.001209558,0.0002593188,0.002208289],"category_scores_gemma":[0.00005181083,0.0005775455,0.0003825163,0.0007683803,0.0003700491,0.0005922798,0.0009656249,0.0007646215,0.0003541159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004869731,"about_ca_system_score_gemma":0.00005154264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005723259,"about_ca_topic_score_gemma":0.0007029947,"domain_scores_codex":[0.9960593,0.0002407764,0.0008098929,0.001069627,0.000713404,0.001106994],"domain_scores_gemma":[0.9982233,0.0001012077,0.0003008439,0.0009314108,0.00002743341,0.0004157997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001820891,0.0005465604,0.9307646,0.0001586354,0.0004365997,0.0003242917,0.001626863,0.003653291,0.006697686,0.003785952,0.02097755,0.03084585],"study_design_scores_gemma":[0.00177748,0.0001649939,0.8343146,0.0001629951,0.0004028746,0.00004404695,0.00395426,0.00657789,0.002194324,0.0006156154,0.1485384,0.00125254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8133011,0.0002241233,0.0003391456,0.001408925,0.0008592418,0.0005151461,0.00001272035,0.0001568247,0.1831827],"genre_scores_gemma":[0.9884367,0.00008780666,0.0006071439,0.0008004361,0.0002256795,0.00002995992,0.00009360976,0.00006669875,0.009651962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1751356,"threshold_uncertainty_score":0.9996676,"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."}}