{"id":"W2966504060","doi":"10.31964/jsk.v10i2.214","title":"ANALISIS FAKTOR RISIKO WASTING PADA BALITA DI WILAYAH KERJA PUSKESMAS IDI RAYEUK KABUPATEN ACEH TIMUR TAHUN 2019","year":2019,"lang":"id","type":"article","venue":"Jurnal Skala Kesehatan","topic":"Public Health and Nutrition","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Medicine; Gynecology","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":[0.001846546,0.00045359,0.0004727424,0.001178331,0.000717564,0.001366539,0.0004845746,0.0004611269,0.008423358],"category_scores_gemma":[0.003192641,0.000322466,0.0008271284,0.000995439,0.0003928545,0.0005046572,0.000799595,0.0007232401,0.001102701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00107908,"about_ca_system_score_gemma":0.001850668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03824911,"about_ca_topic_score_gemma":0.04760015,"domain_scores_codex":[0.998461,0.0003834177,0.0001748651,0.0002291685,0.0004871507,0.0002644128],"domain_scores_gemma":[0.9982327,0.0004243629,0.0004903371,0.0001006943,0.0005675753,0.0001841568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007092444,0.0002276904,0.9251267,0.0008148675,0.0003905747,0.0004822845,0.00201973,0.0003018958,0.001914031,0.0006572664,0.007894034,0.05946172],"study_design_scores_gemma":[0.00002916027,0.0003462113,0.9783117,0.0003847005,0.0002673251,0.0004394556,0.00362956,0.0005429751,0.001906016,0.0002520983,0.01385788,0.00003293331],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572443,0.008128234,0.003267982,0.00146872,0.0002662714,0.0004750401,0.008383028,0.0001175236,0.020649],"genre_scores_gemma":[0.9724897,0.002848736,0.003286138,0.0004491495,0.00008516085,0.0003773863,0.004046325,0.00002837654,0.01638913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03824911,"threshold_uncertainty_score":0.07605296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155437773631784,"score_gpt":0.2848505347191393,"score_spread":0.2693067573559609,"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."}}