{"id":"W4387848296","doi":"10.23960/snip.v3i2.497","title":"ANALISIS KINERJA PENGELOLAAN AIR HUJAN DENGAN SISTEM PEMANENAN AIR HUJAN DAN INFILTRATION TRENCH DI PERUMAHAN DOSEN UNSRI KELURAHAN BUKIT LAMA","year":2023,"lang":"id","type":"article","venue":"Seminar Nasional Insinyur Profesional (SNIP)","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Forestry; Environmental science; Hydrology (agriculture); Surface runoff; Infiltration (HVAC); Physics; Geography; Meteorology; Engineering; Geotechnical engineering; Biology","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","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.00428025,0.002111182,0.002070545,0.002198949,0.003018376,0.0007391013,0.003853505,0.001477971,0.0001603876],"category_scores_gemma":[0.001514882,0.002021047,0.001119012,0.005522565,0.0007895078,0.002252452,0.002208347,0.002795022,0.002795461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097344,"about_ca_system_score_gemma":0.002209225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007422413,"about_ca_topic_score_gemma":0.0007233472,"domain_scores_codex":[0.9815013,0.003409038,0.003074797,0.003709092,0.005450474,0.00285533],"domain_scores_gemma":[0.9894432,0.002792306,0.001854163,0.002797778,0.001514038,0.001598464],"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":[0.002292644,0.007406606,0.1829551,0.006573269,0.002742346,0.007924332,0.08848923,0.009243973,0.3881817,0.04078411,0.2105268,0.05287997],"study_design_scores_gemma":[0.004755857,0.002450457,0.7405635,0.006855608,0.0004190607,0.001281543,0.01128415,0.1211523,0.02200232,0.0003743586,0.08374816,0.005112655],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759812,0.001084276,0.0004174659,0.008579045,0.006964165,0.002602983,0.0002547741,0.001579757,0.002536305],"genre_scores_gemma":[0.9624221,0.0002326239,0.001713173,0.0007739924,0.003392433,0.0002411201,0.002276511,0.0003211964,0.02862684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5576084,"threshold_uncertainty_score":0.9998183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03271766317788113,"score_gpt":0.286653697689517,"score_spread":0.2539360345116359,"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."}}