{"id":"W4404337323","doi":"10.61132/saturnus.v2i4.321","title":"Penerapan Metode Clustering pada Status Gizi Ibu Hamil","year":2024,"lang":"en","type":"article","venue":"Saturnus","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Cluster analysis; Psychology; Medicine; Mathematics; Statistics","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":[0.0007313225,0.0009087498,0.0009137339,0.004610091,0.001528503,0.00300525,0.0009725193,0.0007077702,0.01583457],"category_scores_gemma":[0.002947859,0.0002684235,0.0006608193,0.003972636,0.0003368999,0.001492435,0.001267492,0.0006730494,0.006376334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125309,"about_ca_system_score_gemma":0.001680202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01768474,"about_ca_topic_score_gemma":0.01598399,"domain_scores_codex":[0.9992363,0.0001287192,0.00006847566,0.0002179874,0.0002405119,0.000107976],"domain_scores_gemma":[0.9991672,0.0001371165,0.00006069479,0.00009931364,0.0004892567,0.00004630518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005874629,0.0002607961,0.02778534,0.0008174376,0.000206414,0.0004408351,0.000744498,0.0155409,0.0075403,0.01412529,0.06552982,0.8664209],"study_design_scores_gemma":[0.0001382389,0.0004373777,0.08951893,0.0008350139,0.0003499996,0.001679636,0.005458365,0.3936952,0.02656121,0.03752887,0.4435198,0.0002773273],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3497232,0.02079968,0.3877702,0.008222962,0.003880705,0.001946371,0.04977371,0.01467097,0.1632123],"genre_scores_gemma":[0.6213704,0.006263364,0.2402897,0.0006189216,0.0007064363,0.001327544,0.05039243,0.0007632304,0.07826795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01768474,"threshold_uncertainty_score":0.0529719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013210374357872,"score_gpt":0.2754182958272121,"score_spread":0.2622079214693401,"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."}}