{"id":"W4412141107","doi":"10.31004/joecy.v5i2.1703","title":"Kebijakan Penyediaan Air Minum Aman dan Layak 100 % di Kota Medan untuk Mewujudkan Medan untuk Semua","year":2025,"lang":"id","type":"article","venue":"Journal of Innovative and Creativity (Joecy)","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Materials science","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":[0.002678734,0.0009439173,0.002791212,0.00209932,0.0006034867,0.000417029,0.0009485079,0.0005983448,0.0002088785],"category_scores_gemma":[0.0009667938,0.0009770143,0.0005537748,0.002273651,0.0009716036,0.00134779,0.0005008975,0.001684319,0.00008592701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005558555,"about_ca_system_score_gemma":0.000488441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005114737,"about_ca_topic_score_gemma":0.0005725143,"domain_scores_codex":[0.9940841,0.0002793069,0.003357743,0.0009223155,0.0002202936,0.001136237],"domain_scores_gemma":[0.9938985,0.0006827143,0.003403503,0.0007184518,0.0007799626,0.0005169426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004218071,0.0008345278,0.8031471,0.0004061889,0.001711748,0.00007276266,0.005188523,0.00001042649,0.0004363568,0.1656635,0.01681936,0.005287759],"study_design_scores_gemma":[0.004580379,0.001770354,0.8362409,0.0007767137,0.0002184268,0.00008740844,0.006690351,0.0002850116,0.003622048,0.01854968,0.1257319,0.001446889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8481279,0.003873828,0.001032784,0.00837261,0.001446612,0.0004273979,0.0003909435,0.00002838761,0.1362996],"genre_scores_gemma":[0.9848883,0.002088623,0.0001770938,0.002226002,0.0009056602,0.00001700835,0.00004087756,0.00007923401,0.009577259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1471138,"threshold_uncertainty_score":0.9992681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170451977978695,"score_gpt":0.2526699094590951,"score_spread":0.2309653896793082,"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."}}