{"id":"W1583878141","doi":"10.17146/gnd.2014.17.1.1295","title":"MONITORING LOGAM BERAT DALAM IKAN LAUT DAN AIR TAWAR DAN EVALUASI NUTRISI DARI KONSUMSI IKAN","year":2014,"lang":"id","type":"article","venue":"GANENDRA Majalah IPTEK Nuklir","topic":"Food and Agricultural Sciences","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Food science; Chemistry","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001507409,0.001387333,0.001304219,0.0001018885,0.002385578,0.001110551,0.002585245,0.000796817,0.0004317056],"category_scores_gemma":[0.0004039596,0.0006246027,0.0007222146,0.001946207,0.0009368375,0.001353334,0.000807816,0.001152224,0.0008775151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002515645,"about_ca_system_score_gemma":0.00008281304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009591791,"about_ca_topic_score_gemma":0.0008072439,"domain_scores_codex":[0.9909664,0.0008815485,0.001333451,0.002331742,0.001942966,0.002543939],"domain_scores_gemma":[0.9963224,0.0006386538,0.0007339657,0.0005991075,0.0004454461,0.001260441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002290018,0.00196896,0.1651719,0.0003537362,0.0003630113,0.0002001625,0.002891236,0.0001548788,0.5307338,0.004569166,0.02539365,0.2679705],"study_design_scores_gemma":[0.001054607,0.002479317,0.5499544,0.0006459289,0.0002398636,0.0001643698,0.005394266,0.0002525038,0.04742401,0.0006477424,0.389373,0.002369985],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673342,0.002222861,0.000003736294,0.01003599,0.004900248,0.0009825215,0.00007120805,0.0005315444,0.01391769],"genre_scores_gemma":[0.9794244,0.001047216,0.0002429767,0.0004971455,0.005192669,0.00007148997,0.0001995194,0.00001870093,0.0133059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4833097,"threshold_uncertainty_score":0.9999264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01936162693304883,"score_gpt":0.2323727209550831,"score_spread":0.2130110940220343,"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."}}