{"id":"W2915040599","doi":"10.20473/jipk.v4i2.11557","title":"Analisis Kandungan Merkuri (Hg) pada Air, Sedimen, Ikan Keting (Arius caelatus), dan Ikan Mujair (Oreochromis mossambicus) di Kali Jagir Surabaya &lt;br&gt;&lt;i&gt;[Analysis Of Mercury (Hg) in Water, Sediment, Keting Fish (Arius caelatus), and Mujair Fish (Oreochromis mossambicus) In Jagir River Surabaya]&lt;i&gt;","year":2012,"lang":"en","type":"article","venue":"Jurnal Ilmiah Perikanan dan Kelautan","topic":"Aquatic life and conservation","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oreochromis mossambicus; Mercury (programming language); Fishery; Environmental science; Tilapia; Environmental chemistry; Fish <Actinopterygii>; Chemistry; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.004099325,0.001583606,0.002717214,0.0007931734,0.001261024,0.0003945196,0.001304844,0.001074066,0.0003862285],"category_scores_gemma":[0.0005428388,0.0009583326,0.0009787154,0.003846275,0.0008431898,0.001996858,0.0007263809,0.001362929,0.00002039911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007180255,"about_ca_system_score_gemma":0.0002105924,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007094612,"about_ca_topic_score_gemma":0.04389971,"domain_scores_codex":[0.9881725,0.001472992,0.003518282,0.001989044,0.001961464,0.002885675],"domain_scores_gemma":[0.9946406,0.001248507,0.001583976,0.0007900429,0.0004934712,0.001243431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000412397,0.001074719,0.6377818,0.0001902687,0.001384648,0.0002118951,0.008465971,0.0003707779,0.3363961,0.0002067294,0.0008001965,0.01270448],"study_design_scores_gemma":[0.002395871,0.0003568758,0.9528202,0.0004780085,0.000997596,0.00007541833,0.002345913,0.004251747,0.02109467,0.00003049852,0.01320479,0.001948402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937226,0.001468888,0.00001310064,0.001511723,0.0004544056,0.001041652,0.0003719017,0.0002191514,0.001196576],"genre_scores_gemma":[0.9956895,0.0003557619,0.0002799487,0.0008423723,0.0006231137,0.0001081702,0.001551716,0.0000561705,0.0004932152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3153014,"threshold_uncertainty_score":0.9996912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394585568096494,"score_gpt":0.222540183919015,"score_spread":0.2085943282380501,"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."}}