{"id":"W3031570094","doi":"10.33633/joins.v5i1.3469","title":"Analisis Persebaran UMKM Kota Malang Menggunakan Cluster K-means","year":2020,"lang":"id","type":"article","venue":"JOINS (Journal of Information System)","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Humanities; Physics; Cluster (spacecraft); Computer science; Art; Operating system","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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00151453,0.0003204232,0.0006160185,0.0004992552,0.00035344,0.001083252,0.001429987,0.0001650218,0.00006849656],"category_scores_gemma":[0.000368911,0.0002813188,0.0003385495,0.001033428,0.00005574447,0.004023248,0.0002875419,0.0007395313,0.001255933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002045521,"about_ca_system_score_gemma":0.0003653764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005215477,"about_ca_topic_score_gemma":0.000002990481,"domain_scores_codex":[0.9960387,0.0003096105,0.002022973,0.0002255656,0.001017063,0.0003860444],"domain_scores_gemma":[0.9955427,0.0001259822,0.002422371,0.000612095,0.0007698865,0.0005269678],"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":[0.0004872796,0.0002724973,0.01339563,0.004139378,0.001490101,0.0001171123,0.2957827,0.03203478,0.0003915571,0.03435717,0.551167,0.06636482],"study_design_scores_gemma":[0.002736594,0.0008171453,0.006562016,0.0010515,0.0002421754,0.00109568,0.02280113,0.4692303,0.0001106287,0.000005602005,0.4946919,0.0006553713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02369526,0.0001970791,0.91743,0.02502623,0.001549113,0.0005409043,0.0001660815,0.0002280967,0.03116716],"genre_scores_gemma":[0.9846135,0.00004314141,0.01112303,0.003287424,0.0006707362,0.00000886443,0.00005759436,0.00002005865,0.0001756097],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9609182,"threshold_uncertainty_score":0.9999639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845186821246702,"score_gpt":0.2422038322400252,"score_spread":0.2237519640275582,"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."}}