{"id":"W2796523323","doi":"10.29122/jai.v9i1.2472","title":"PERANCANGAN PENGOLAHAN AIR MINUM TENAGA SURYA KAPASITAS 50 M3/HARI (Dengan Menggunakan Proses Biofiltrasi Dan Ultrafiltrasi)","year":2018,"lang":"en","type":"article","venue":"Jurnal Air Indonesia","topic":"Engineering and Technology Innovations","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Environmental science; Ultrafiltration (renal); Water treatment; Waste management; Biofilter; Power station; Operational costs; Water supply; Environmental engineering; Engineering; Chemistry; Operations management","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":[0.0001679015,0.000470559,0.0003572767,0.0004193931,0.0008092602,0.001498011,0.0004303515,0.0004492223,0.0112852],"category_scores_gemma":[0.0001390959,0.0002562448,0.0004865644,0.0004918604,0.0002571341,0.0008946536,0.0006469471,0.0007051192,0.002735361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004839454,"about_ca_system_score_gemma":0.0007597143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002757902,"about_ca_topic_score_gemma":0.005855499,"domain_scores_codex":[0.9997475,0.00001932753,0.00001682144,0.00006856297,0.00009831903,0.00004951218],"domain_scores_gemma":[0.9999169,0.00001424965,0.00001193392,0.000008216964,0.00003648199,0.00001226696],"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":[0.0007956102,0.0005256903,0.01007454,0.001840913,0.0001275339,0.0009004284,0.001018429,0.002198121,0.6411785,0.003560286,0.004343758,0.3334362],"study_design_scores_gemma":[0.00009604493,0.001305928,0.03204392,0.0002941276,0.0003802632,0.002075927,0.001680937,0.007184795,0.6675827,0.001930468,0.2852649,0.0001599582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8474566,0.01412125,0.05277144,0.00128778,0.0007770948,0.0003590045,0.001904157,0.001719035,0.07960369],"genre_scores_gemma":[0.9009841,0.007225315,0.02929137,0.000313116,0.00005057003,0.0001977232,0.001244323,0.0001504552,0.06054308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0112852,"threshold_uncertainty_score":0.03775269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007879990032005152,"score_gpt":0.2106297064970324,"score_spread":0.2027497164650272,"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."}}