{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002273356,0.0001312613,0.0001133191,0.0001164971,0.0001553262,0.0005502464,0.0006107896,0.00004751108,0.00002276845],"category_scores_gemma":[0.00004147894,0.0001175506,0.00005646302,0.0004481304,0.00002769108,0.0003648687,0.0003284842,0.0003141299,0.0003702522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004627705,"about_ca_system_score_gemma":0.00009961506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00038452,"about_ca_topic_score_gemma":0.00007586658,"domain_scores_codex":[0.9988031,0.00004548229,0.0001526102,0.0004580952,0.0001907933,0.0003499581],"domain_scores_gemma":[0.9990432,0.0001015162,0.00002995829,0.0006785701,0.00002484186,0.0001219491],"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":[0.000003201451,0.00003542196,0.0001177342,0.00006192572,0.0000570786,0.00005939011,0.00235294,0.0009534148,0.00423906,0.05050293,0.04311684,0.8985001],"study_design_scores_gemma":[0.0001182352,0.00004283148,0.001652353,0.00005197673,0.00001239924,0.00005370683,0.00003820689,0.2307773,0.0004910685,0.001618716,0.7649083,0.0002349022],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01606758,0.004245195,0.9444091,0.004121674,0.001993675,0.0001831399,0.00005333042,0.002113648,0.02681269],"genre_scores_gemma":[0.9197437,0.00007849878,0.07523266,0.0003737125,0.0001980181,0.00003721359,0.00004491322,0.00002372781,0.004267617],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.903676,"threshold_uncertainty_score":0.5306039,"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."}}