{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002383198,0.0017535,0.001422738,0.003295796,0.00237743,0.004042846,0.00142201,0.001170559,0.01018505],"category_scores_gemma":[0.0093463,0.000494108,0.001578432,0.004969363,0.0007209359,0.002553215,0.001364356,0.001555474,0.004460786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001912653,"about_ca_system_score_gemma":0.003197297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02981311,"about_ca_topic_score_gemma":0.02897613,"domain_scores_codex":[0.9971487,0.000422819,0.0002162673,0.0007463313,0.001013789,0.0004520596],"domain_scores_gemma":[0.9937872,0.002123651,0.0004456376,0.000448213,0.002942868,0.0002524828],"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":[0.001740856,0.0004301129,0.1286507,0.003241528,0.0008948807,0.001226896,0.003831899,0.05207884,0.0201607,0.008985014,0.06120801,0.7175506],"study_design_scores_gemma":[0.0001255193,0.0007458455,0.3266829,0.001277453,0.001243732,0.002145017,0.02624126,0.3620491,0.0457266,0.02206308,0.2110214,0.000678063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5426078,0.008924913,0.3632084,0.004723659,0.001858114,0.00125372,0.01637372,0.009074422,0.05197519],"genre_scores_gemma":[0.8103685,0.002758948,0.142641,0.0005438236,0.0002256532,0.0006927753,0.01194329,0.000962746,0.02986319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02981311,"threshold_uncertainty_score":0.05927914,"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."}}