{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001658936,0.001149468,0.001181481,0.002442448,0.001736035,0.003031009,0.001102928,0.001004999,0.006355974],"category_scores_gemma":[0.002329722,0.0004587148,0.0009492926,0.002808562,0.0006386708,0.001714763,0.0007533772,0.00117171,0.003088759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042611,"about_ca_system_score_gemma":0.001940768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01042378,"about_ca_topic_score_gemma":0.01085845,"domain_scores_codex":[0.9981877,0.0002877442,0.0001527906,0.0004981698,0.0007556382,0.0001179093],"domain_scores_gemma":[0.9986778,0.0002479814,0.00007384639,0.0001725325,0.0007857642,0.00004215211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003262456,0.0001545306,0.002449245,0.0004910285,0.0002074647,0.00009748496,0.0003391929,0.03293598,0.02328764,0.01017566,0.01069844,0.9188371],"study_design_scores_gemma":[0.0001035802,0.0004735406,0.01541271,0.0002363546,0.0004529618,0.0008795855,0.001443909,0.7763756,0.09241693,0.02431503,0.08751167,0.0003781337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05593679,0.002610436,0.9200178,0.001139975,0.0008012205,0.0002489212,0.0007329475,0.003619019,0.01489296],"genre_scores_gemma":[0.2073935,0.001722569,0.7630633,0.0002712804,0.0002597761,0.0002017087,0.001223909,0.0003949464,0.02546909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01042378,"threshold_uncertainty_score":0.02126282,"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."}}