{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004532578,0.0008455971,0.0005035659,0.0008261214,0.0006030106,0.00179854,0.0004074109,0.0007772031,0.01642499],"category_scores_gemma":[0.0004683765,0.0004339206,0.0006810764,0.0004273647,0.0005483729,0.000935187,0.0009035165,0.001333797,0.00318139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009757511,"about_ca_system_score_gemma":0.001008903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003085811,"about_ca_topic_score_gemma":0.006217603,"domain_scores_codex":[0.9996076,0.00005355592,0.00002049533,0.00007418908,0.000175748,0.00006834593],"domain_scores_gemma":[0.9996717,0.00009256142,0.00004076579,0.00002454267,0.0001231011,0.00004729189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008726649,0.0001627697,0.00174463,0.001024093,0.00005231018,0.0004529314,0.0004178065,0.0006152989,0.9162443,0.002053341,0.002540009,0.07381973],"study_design_scores_gemma":[0.00002740542,0.0006859762,0.004857224,0.0001273138,0.00008653603,0.0004864601,0.0003990284,0.001019074,0.9393069,0.0005029601,0.05246271,0.00003837155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7667195,0.03348202,0.03507104,0.00325499,0.001517167,0.0006152763,0.002118419,0.001407905,0.1558135],"genre_scores_gemma":[0.7331236,0.01870908,0.0328829,0.000894881,0.0001127047,0.0003031609,0.0010428,0.0003484273,0.2125824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01642499,"threshold_uncertainty_score":0.05494702,"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."}}