{"id":"W4401899229","doi":"10.20527/jtb.v10i02.200","title":"Analisis Neraca Air Sub Das Martapura","year":2021,"lang":"id","type":"article","venue":"Jurnal Teknologi Berkelanjutan","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Business","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006493739,0.0007348014,0.0007896754,0.0007936342,0.000688846,0.001333153,0.0008788622,0.0005098599,0.008490637],"category_scores_gemma":[0.000485801,0.0007343844,0.0004771891,0.002296196,0.0001971766,0.001942337,0.001097608,0.00083119,0.002360344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001479381,"about_ca_system_score_gemma":0.000108895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001219631,"about_ca_topic_score_gemma":0.0002159027,"domain_scores_codex":[0.9959478,0.0001211932,0.001079813,0.001052009,0.0007693258,0.001029862],"domain_scores_gemma":[0.9972128,0.0001092296,0.0008421873,0.0009465111,0.0008080152,0.00008129656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002414152,0.001101052,0.1774474,0.001176997,0.001006954,0.004227707,0.0001177947,0.0001704314,0.001818191,0.04439545,0.7521091,0.0161875],"study_design_scores_gemma":[0.001883335,0.000136401,0.08498891,0.0006691225,0.001143056,0.0001358475,0.001569537,0.003301173,0.005914636,0.004265149,0.8936766,0.002316227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2673015,0.006758376,0.005247239,0.03866502,0.004742834,0.001438501,0.00007117457,0.002693439,0.6730819],"genre_scores_gemma":[0.939933,0.00385909,0.00186296,0.01287906,0.003530473,0.00004958238,0.0006551297,0.0001966464,0.03703403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6726316,"threshold_uncertainty_score":0.9997036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406083715304807,"score_gpt":0.2489709009452981,"score_spread":0.23491006379225,"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."}}