{"id":"W2618405526","doi":"10.20527/jbk.v12i1.3692","title":"KORELASI PANJANG LENGAN ATAS DENGAN TINGGI BADAN PADA WANITA SUKU BANJAR","year":2016,"lang":"en","type":"article","venue":"Berkala Kedokteran","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Humanities; Mathematics; Art","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":[0.0007766433,0.0004224009,0.0002533524,0.0009503663,0.001661647,0.001989926,0.0005033216,0.0004963221,0.01524852],"category_scores_gemma":[0.001149503,0.0001750752,0.0003139742,0.0007635808,0.0006769207,0.0008360298,0.001203493,0.0006573645,0.001966026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007515334,"about_ca_system_score_gemma":0.001632858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005892758,"about_ca_topic_score_gemma":0.01020706,"domain_scores_codex":[0.9995098,0.0001276088,0.0000449282,0.00007864951,0.0001582156,0.0000807269],"domain_scores_gemma":[0.9995029,0.000138116,0.0001018076,0.00003349281,0.0001732813,0.0000505199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005069119,0.000488119,0.2371484,0.002019253,0.0001602465,0.00899514,0.04395435,0.001291267,0.02402076,0.03052592,0.0194162,0.6314734],"study_design_scores_gemma":[0.00004588981,0.0007898569,0.4862552,0.002243364,0.0003617991,0.01388405,0.1188107,0.004992744,0.0161686,0.01331129,0.3429445,0.0001919292],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8549166,0.009095896,0.009050192,0.006471407,0.0005954409,0.0001540625,0.0005377476,0.0003859688,0.1187927],"genre_scores_gemma":[0.957244,0.005364183,0.00704161,0.0004601317,0.00008700523,0.00006124362,0.0003745635,0.00003713593,0.02933021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01524852,"threshold_uncertainty_score":0.05101132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135941699219344,"score_gpt":0.2169565855008595,"score_spread":0.2033624155789251,"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."}}