{"id":"W4366221510","doi":"10.35315/informatika.v14i2.8885","title":"CLUSTERING DAERAH BANJIR DI JAWA TIMUR DENGAN ALGORITMA FUZZY C-MEANS","year":2022,"lang":"id","type":"article","venue":"Jurnal Dinamika Informatika","topic":"Decision Support System Applications","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Cluster analysis; Geography; Computer science; Artificial intelligence","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002088781,0.000816731,0.0009129776,0.001265934,0.003001856,0.002166601,0.002125909,0.0002075913,0.01685495],"category_scores_gemma":[0.0001827279,0.0008716039,0.0005548766,0.002308291,0.0001125162,0.0051777,0.00341156,0.001291943,0.02488708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006204306,"about_ca_system_score_gemma":0.0002034384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002492021,"about_ca_topic_score_gemma":0.00008652497,"domain_scores_codex":[0.9932337,0.00008452054,0.002576961,0.000650142,0.002200102,0.001254527],"domain_scores_gemma":[0.9958481,0.0002035164,0.001871509,0.001382973,0.0005297792,0.0001640935],"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":[0.0003678405,0.0009717095,0.01550445,0.002392772,0.0005915264,0.0002918172,0.004424045,0.002149894,0.000233807,0.004136273,0.9083328,0.06060305],"study_design_scores_gemma":[0.001541327,0.00009217471,0.02155291,0.0002055936,0.0001985396,0.0002190078,0.00570279,0.0317426,0.00001001297,0.0003123755,0.9373425,0.001080191],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07352656,0.0007756311,0.01030605,0.002975389,0.00801661,0.003116861,0.0004176322,0.0008202896,0.900045],"genre_scores_gemma":[0.9241337,0.00008654991,0.0007721598,0.00480419,0.00214754,0.0007615173,0.0009371164,0.0002277646,0.0661295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8506071,"threshold_uncertainty_score":0.9993735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834843120650106,"score_gpt":0.2413567503356949,"score_spread":0.2230083191291939,"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."}}