{"id":"W2099252165","doi":"10.21831/medikora.v0i2.4819","title":"TINGGI BADAN ANAK DITINJAU DARI SEGIFAKTOR GENETIK DAN LINGKUNGAN(Studi Antropologi Ragawi Pada Suku Batak Toba)","year":2015,"lang":"id","type":"article","venue":"MEDIKORA","topic":"Public Health and Nutrition","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Humanities; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003151246,0.0007871565,0.001426827,0.0005075865,0.0004850228,0.0001649438,0.0006935305,0.0007360293,0.0002161481],"category_scores_gemma":[0.006224489,0.0007310093,0.0002314008,0.001252823,0.0004027552,0.0002910111,0.0003854756,0.001313152,0.001128243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000979069,"about_ca_system_score_gemma":0.002736434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001233233,"about_ca_topic_score_gemma":0.0005052102,"domain_scores_codex":[0.9926934,0.0006760517,0.001374534,0.0012877,0.00170025,0.002268123],"domain_scores_gemma":[0.9924983,0.0004259573,0.0004710683,0.001271159,0.0009314487,0.004402047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001744106,0.001927516,0.0829095,0.001534516,0.0003949532,0.001673814,0.004470709,0.000008125504,0.007681963,0.0003699532,0.8579092,0.03937564],"study_design_scores_gemma":[0.009190296,0.004662508,0.03591425,0.0009350703,0.0004173302,0.0002019523,0.007577768,0.0005719596,0.007076216,0.00008717279,0.9322817,0.001083743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.905212,0.01346899,0.0006528703,0.05700211,0.01082696,0.002634269,0.0003100977,0.0005351965,0.009357498],"genre_scores_gemma":[0.9669122,0.001345785,0.00313031,0.009599699,0.01416661,0.0001454834,0.001082724,0.0001838852,0.003433303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07437254,"threshold_uncertainty_score":0.9996495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05764885748187563,"score_gpt":0.3245899236529188,"score_spread":0.2669410661710431,"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."}}