{"id":"W4404078046","doi":"10.53555/sfs.v10i3.3128","title":"Assessment Of Heavy Metal Bioaccumulation In Tilapia And Labeo rohita From Kachapur Lake, Kamareddy, Telangana, India","year":2024,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Labeo; Bioaccumulation; Tilapia; Fishery; Environmental chemistry; Biology; Environmental science; Fish <Actinopterygii>; Geography; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00009543548,0.000237991,0.0002195159,0.001096099,0.0007912796,0.0006718891,0.0002166756,0.00033924,0.0007577831],"category_scores_gemma":[0.0001321015,0.0001961293,0.0002319662,0.000790024,0.0003737979,0.0002007406,0.0004034615,0.0001991055,0.0002472069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002660699,"about_ca_system_score_gemma":0.0003901839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01403501,"about_ca_topic_score_gemma":0.039442,"domain_scores_codex":[0.9999169,0.000007065048,0.000008394682,0.00002771578,0.00002265486,0.00001729184],"domain_scores_gemma":[0.9998958,0.00001368223,0.00003041806,0.000006390985,0.00003885479,0.0000148812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004183343,0.0001158465,0.7779669,0.000248236,0.00006644453,0.001841643,0.006857716,0.0002998314,0.1955393,0.0001519813,0.0001596196,0.01633419],"study_design_scores_gemma":[0.000007601458,0.0005144899,0.9811448,0.00001904684,0.00005825909,0.0009959707,0.006914165,0.0002886859,0.008613328,0.00007742515,0.001351771,0.00001448058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999222,0.00004891933,0.00007702023,0.00001243046,0.000001134098,0.000005906735,0.0001264471,0.000005007037,0.0005009552],"genre_scores_gemma":[0.9979113,0.00009715425,0.0002544433,0.00002219564,0.000001321426,0.00001246783,0.0002066693,0.000002625069,0.001491855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01403501,"threshold_uncertainty_score":0.02790666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1490471290808091,"score_gpt":0.3262466725038752,"score_spread":0.1771995434230662,"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."}}