{"id":"W2947048519","doi":"10.5614/joki.2019.11.1.6","title":"Studi Potensi Pengembangan PLTMH di Kawasan Perkebunan Teh PT. PAGILARAN Kabupaten Batang","year":2019,"lang":"id","type":"article","venue":"Jurnal Otomasi Kontrol dan Instrumentasi","topic":"Heavy Metal Pollution Remediation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Physics; Forestry; Environmental engineering; Environmental science; Hydrology (agriculture); Engineering; Geography; Geotechnical engineering","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":["insufficient_payload"],"category_scores_codex":[0.001551749,0.001273341,0.001431277,0.0004089329,0.0008821969,0.0005375896,0.001430026,0.0005952337,0.002406666],"category_scores_gemma":[0.0002109356,0.001208275,0.0007580731,0.00105086,0.0006087942,0.001980924,0.0007653222,0.001496823,0.008425667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002252988,"about_ca_system_score_gemma":0.0002227561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006241128,"about_ca_topic_score_gemma":0.0005675214,"domain_scores_codex":[0.9907605,0.0009656387,0.001896719,0.001794005,0.002431019,0.002152112],"domain_scores_gemma":[0.9958136,0.0001798745,0.001115321,0.001538018,0.00009656004,0.001256633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006007845,0.00116774,0.643549,0.0001786189,0.0006758206,0.0002587413,0.001506478,0.0002884831,0.2774216,0.0004736012,0.002308171,0.071571],"study_design_scores_gemma":[0.00687794,0.00154775,0.9364737,0.0002414839,0.0004186584,0.0002033219,0.001929884,0.003405154,0.01495374,0.00007727062,0.03238995,0.001481141],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783272,0.0004292978,0.00004811539,0.002756269,0.003530234,0.003097001,0.0002823183,0.0002306215,0.01129901],"genre_scores_gemma":[0.9930207,0.0003077687,0.0002804841,0.00124388,0.0007615164,0.0001019424,0.0001473122,0.0001982125,0.003938226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2929248,"threshold_uncertainty_score":0.9990367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00933168087321767,"score_gpt":0.2221916917999661,"score_spread":0.2128600109267484,"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."}}