{"id":"W2948062456","doi":"10.36456/waktu.v13i2.61","title":"ARANG AKTIF AMPAS TEBU SEBAGAI MEDIA ADSORPSI UNTUK MENINGKATKAN KUALITAS AIR SUMUR GALI","year":2016,"lang":"id","type":"article","venue":"Waktu","topic":"Engineering and Technology Innovations","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Chemistry","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":[0.0004486667,0.0006311014,0.0006127435,0.0006291263,0.0001807239,0.00004805677,0.0006041211,0.0007341196,0.0006321833],"category_scores_gemma":[0.0004508652,0.0005503137,0.000197871,0.001090383,0.0002383062,0.0002813488,0.0001409682,0.0007222078,0.002154972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002988721,"about_ca_system_score_gemma":0.00007171174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005314881,"about_ca_topic_score_gemma":0.00005692439,"domain_scores_codex":[0.9970959,0.00005291093,0.000773185,0.0006017472,0.0003971331,0.001079065],"domain_scores_gemma":[0.9980098,0.0003809733,0.0001252637,0.001094375,0.0001659714,0.0002236458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008182941,0.00062912,0.01264543,0.00133375,0.003427668,0.0005390742,0.007694954,0.005507518,0.4206073,0.2527561,0.225238,0.06953932],"study_design_scores_gemma":[0.006647038,0.0004521571,0.03956968,0.003190927,0.0007642138,0.0002824083,0.001570932,0.004045343,0.2194148,0.007517331,0.7112308,0.005314415],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8790045,0.004978682,0.0442876,0.01413498,0.008506145,0.0008769885,0.000673727,0.008518348,0.03901899],"genre_scores_gemma":[0.9902561,0.0002753518,0.002235163,0.0001270519,0.0006093098,0.00008381729,0.00007007329,0.0001931483,0.006149984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4859928,"threshold_uncertainty_score":0.9996948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128164727148226,"score_gpt":0.2114041092516438,"score_spread":0.2001224619801616,"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."}}