{"id":"W2998905655","doi":"","title":"MEMINIMALISIR BANJIR DENGAN SISTEM PEMANENAN AIR HUJAN","year":2019,"lang":"id","type":"article","venue":"Seminar Nasional Teknik (SEMNASTEK) UISU","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Environmental 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","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00342211,0.001801118,0.002146001,0.0008731038,0.0008688016,0.0007384184,0.005028332,0.00118209,0.0005421714],"category_scores_gemma":[0.0008029719,0.001764969,0.001089551,0.001961028,0.0004685914,0.001371953,0.002343723,0.002277786,0.02362403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008216201,"about_ca_system_score_gemma":0.001208776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001654777,"about_ca_topic_score_gemma":0.00006116613,"domain_scores_codex":[0.9859972,0.001661141,0.002328112,0.003517242,0.003852995,0.002643283],"domain_scores_gemma":[0.9898309,0.002550785,0.001561311,0.003779135,0.0008641625,0.001413754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001591292,0.005395544,0.06778723,0.0101943,0.002544491,0.0046204,0.04720537,0.002437271,0.5464298,0.02775438,0.2195848,0.06445515],"study_design_scores_gemma":[0.006625925,0.003756208,0.04372717,0.009681054,0.0003664434,0.002701519,0.004889821,0.05446067,0.07549901,0.0002881573,0.7916383,0.006365761],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9486666,0.006113943,0.0007768889,0.003544939,0.01569453,0.003751064,0.0001333971,0.001391714,0.01992687],"genre_scores_gemma":[0.8403329,0.0001038206,0.004553922,0.0007214337,0.001832248,0.00009333993,0.0001349233,0.0002868626,0.1519406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5720534,"threshold_uncertainty_score":0.9994734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130870016764903,"score_gpt":0.2396087475704834,"score_spread":0.2283000474028344,"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."}}