{"id":"W4392852110","doi":"10.62603/konteks.v1i4.84","title":"EVALUASI KUALITAS CAMPURAN ASPAL PANAS PRODUKSI AMP DENGAN BAHAN BAKAR LIMBAH CANGKANG KELAPA SAWIT","year":2024,"lang":"id","type":"article","venue":"Konferensi Nasional Teknik Sipil (KoNTekS)","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Animal science; Horticulture; Biology","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":[0.0007674141,0.0006320071,0.0005613661,0.0006912664,0.0004555185,0.001168438,0.0003740632,0.0004145504,0.008267973],"category_scores_gemma":[0.0005588428,0.0002707155,0.0008147268,0.0009212528,0.0002890616,0.0006803316,0.0003899238,0.001068751,0.001448241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007478063,"about_ca_system_score_gemma":0.0005459423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00594219,"about_ca_topic_score_gemma":0.01503832,"domain_scores_codex":[0.9990927,0.0001003818,0.0000616155,0.000149252,0.0005036938,0.00009243638],"domain_scores_gemma":[0.999351,0.0001335989,0.0001040267,0.00003707163,0.000316248,0.00005808235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003681978,0.001799976,0.02184403,0.003043862,0.0002503222,0.0003670511,0.001068317,0.003243328,0.8588037,0.0008560861,0.001581183,0.1034602],"study_design_scores_gemma":[0.00008274446,0.01259044,0.1555845,0.0003034253,0.0007696115,0.0004253897,0.002598929,0.003689133,0.771852,0.0005961889,0.05138657,0.000121176],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699828,0.004223718,0.003051705,0.0001039205,0.00008374175,0.0003689308,0.003201296,0.000105307,0.01887855],"genre_scores_gemma":[0.9490552,0.004149255,0.009743463,0.0001167582,0.00002153993,0.0003697916,0.002571847,0.0001463764,0.03382584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008267973,"threshold_uncertainty_score":0.02765912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04263678818550962,"score_gpt":0.2973891120294709,"score_spread":0.2547523238439613,"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."}}