{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009995846,0.001219628,0.001061116,0.001374179,0.001222186,0.001542883,0.0005648831,0.00100726,0.008861004],"category_scores_gemma":[0.0009547899,0.0004715835,0.0009998941,0.001020823,0.0005805654,0.0009175692,0.0007999662,0.001123761,0.002951176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000960082,"about_ca_system_score_gemma":0.001157555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007018146,"about_ca_topic_score_gemma":0.01974745,"domain_scores_codex":[0.9986767,0.0001458793,0.00008369112,0.0003307031,0.0006513055,0.0001116476],"domain_scores_gemma":[0.9990556,0.0001726407,0.000138167,0.00007822711,0.0004963025,0.00005914287],"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":[0.001912753,0.0005017149,0.05685253,0.001253698,0.0001612058,0.0003915859,0.001127278,0.0005710265,0.8565072,0.0005447292,0.002235417,0.07794084],"study_design_scores_gemma":[0.00007689504,0.003138079,0.1867798,0.0003420432,0.0005619555,0.0007929424,0.002491107,0.004131681,0.7505693,0.001507081,0.04945889,0.0001501835],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8866789,0.005818956,0.04750921,0.0007661851,0.0005107825,0.001366489,0.008562146,0.001603244,0.04718398],"genre_scores_gemma":[0.7828823,0.006902655,0.1001601,0.001148946,0.0001145972,0.001527505,0.0060354,0.0007786599,0.1004498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008861004,"threshold_uncertainty_score":0.029643,"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."}}