{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028161,0.000553206,0.000477604,0.0006359164,0.0004133111,0.00006827227,0.0006190384,0.0004335618,0.00003105258],"category_scores_gemma":[0.00006597918,0.0005345235,0.0001611027,0.001158583,0.0002998475,0.0003592813,0.00004851857,0.001017142,0.0001347899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001520511,"about_ca_system_score_gemma":0.00007072014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002693602,"about_ca_topic_score_gemma":0.00006019859,"domain_scores_codex":[0.9976497,0.00004101387,0.0006157527,0.0004677617,0.0003631791,0.000862621],"domain_scores_gemma":[0.9986984,0.00008556591,0.00009711559,0.0006760405,0.0002209461,0.0002219544],"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":[0.00007336957,0.0004737691,0.128567,0.0004618427,0.001009783,0.0001942548,0.002433263,0.002905124,0.8255046,0.009298196,0.01257943,0.01649937],"study_design_scores_gemma":[0.001546842,0.0004942892,0.5463012,0.0002455116,0.0001517123,0.000818986,0.0007161055,0.001782299,0.3954309,0.0001706565,0.05073489,0.001606587],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915345,0.0002503291,0.001175962,0.0006602053,0.0010482,0.0003673405,0.00005825734,0.00240197,0.002503195],"genre_scores_gemma":[0.9963924,0.00003835103,0.001997686,0.0001747967,0.0008931679,0.00008772233,0.00006617234,0.0001550658,0.0001946216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4300737,"threshold_uncertainty_score":0.9997106,"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."}}