{"id":"W7029458841","doi":"","title":"KAJIAN KANDUNGAN LOGAM BERAT MANGAN (Mn) DAN NIKEL (Ni) PADA SEDIMEN DI SEKITAR PESISIR TELUK LAMPUNG","year":2016,"lang":"id","type":"other","venue":"Digilib Repository Unila (Lampung University)","topic":"German Security and Defense Policies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heavy metals; Manganese; Christian ministry; Nickel","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004425982,0.0005503792,0.0004897497,0.0008726423,0.001038985,0.001199989,0.0004395701,0.0006712056,0.011949],"category_scores_gemma":[0.0004511403,0.0002572678,0.0006073157,0.0005333305,0.0004187833,0.0006904533,0.0005715335,0.0007136638,0.002238982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008836064,"about_ca_system_score_gemma":0.0009923957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009815507,"about_ca_topic_score_gemma":0.03634464,"domain_scores_codex":[0.9993821,0.00006564942,0.00003719092,0.0001397038,0.0002956192,0.00007968375],"domain_scores_gemma":[0.9993023,0.0001314402,0.0001134768,0.00004437744,0.0003604791,0.00004785102],"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":[0.0009689098,0.0003317548,0.04068501,0.002770484,0.0001851968,0.0009112813,0.001539354,0.0006435133,0.8535418,0.001271933,0.003583208,0.09356762],"study_design_scores_gemma":[0.00003028733,0.001854433,0.1385628,0.0005583915,0.0004298923,0.002259292,0.005328596,0.001966147,0.6814748,0.001352389,0.1660456,0.0001373955],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9185605,0.01059177,0.0161205,0.00140605,0.0005976266,0.0003872724,0.002901002,0.0003743839,0.04906079],"genre_scores_gemma":[0.8285032,0.006636978,0.03423741,0.00105055,0.0001037925,0.0002920645,0.00234922,0.0002263215,0.1266005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.011949,"threshold_uncertainty_score":0.03997338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009183331397991488,"score_gpt":0.2164638982920292,"score_spread":0.2072805668940378,"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."}}