{"id":"W7052994621","doi":"","title":"SEBARAN LOGAM BERAT TEMBAGA(Cu) DAN KOBALT (Co) PADA SEDIMEN LUMPUR LAUT DI PERAIRAN PELABUHAN PANJANG BANDAR LAMPUNG
\\n","year":2014,"lang":"id","type":"other","venue":"Digilib Repository Unila (Lampung University)","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heavy metals; Sediment; Christian ministry; Analytical Chemistry (journal)","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":[0.0006159639,0.0008190431,0.0007120811,0.0009132604,0.001103261,0.001415756,0.0006722936,0.001007402,0.01482745],"category_scores_gemma":[0.00072249,0.0005382131,0.0007242534,0.0007503969,0.0005465501,0.001063169,0.0009999875,0.001025445,0.003578005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008320268,"about_ca_system_score_gemma":0.0009005913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004389524,"about_ca_topic_score_gemma":0.01490574,"domain_scores_codex":[0.9991283,0.00009351951,0.00005432569,0.0001887084,0.0004330761,0.000102128],"domain_scores_gemma":[0.9994352,0.0001159328,0.00008420663,0.00006093852,0.0002686304,0.00003493689],"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":[0.001071456,0.0001980797,0.01149406,0.001996212,0.0001355157,0.0006726026,0.0008359463,0.0008192579,0.8732728,0.001714653,0.004534847,0.1032546],"study_design_scores_gemma":[0.00002966443,0.00106198,0.02711305,0.0003441244,0.000284355,0.0009675172,0.002184939,0.00241371,0.8598371,0.001169243,0.1044876,0.0001067109],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8865159,0.01223554,0.04313563,0.001502937,0.001026578,0.0003675639,0.002167793,0.001354234,0.05169381],"genre_scores_gemma":[0.862659,0.007031127,0.04374497,0.001078343,0.000105915,0.0003034619,0.00144478,0.0005070567,0.08312539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01482745,"threshold_uncertainty_score":0.04960281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004403838930560561,"score_gpt":0.1621784397509088,"score_spread":0.1577746008203482,"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."}}