{"id":"W1997352171","doi":"10.1007/s10661-011-2418-7","title":"Chemometric study on the trace metal accumulation in the sediments of the Cochin Estuary―Southwest coast of India","year":2011,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; Cochin University of Science and Technology","keywords":"Estuary; Enrichment factor; Sediment; Environmental chemistry; Trace metal; Total organic carbon; Environmental science; Trace element; Ecotoxicology; Effluent; Metal; Contamination; Oceanography; Chemistry; Geology; Heavy metals; Geochemistry; Environmental engineering; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001279165,0.0002213272,0.0002194135,0.00005446609,0.0001787033,0.00001274659,0.0005218177,0.0000522997,0.000166717],"category_scores_gemma":[0.00002098991,0.000119187,0.00007600791,0.0003026471,0.000340575,0.0001200893,0.0003843743,0.0003428557,0.00001441747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002120685,"about_ca_system_score_gemma":0.000005736711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003875614,"about_ca_topic_score_gemma":0.000007497637,"domain_scores_codex":[0.9975749,0.0004504439,0.000435858,0.0003293584,0.0009733887,0.0002360109],"domain_scores_gemma":[0.9988672,0.0002398168,0.0002642446,0.000581478,7.180275e-7,0.00004653174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001189145,0.001575541,0.9804816,0.00000347793,0.00003140615,0.000002444335,0.005765507,0.0002716833,0.009429948,0.0000183979,0.000003573752,0.002404547],"study_design_scores_gemma":[0.0004677862,0.0003491251,0.9668646,0.00002017484,0.00004877978,0.000002196582,0.01019524,0.00003132891,0.02181853,0.00004929221,0.00004052021,0.0001124176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978814,0.00004387905,0.0000122396,0.00006127378,0.0001990089,0.0008954301,0.00001101952,0.000004799137,0.0008909681],"genre_scores_gemma":[0.9995086,0.00003278212,0.000272874,0.00001912209,0.00002741695,0.00008646092,0.000001358926,0.00001639017,0.00003502483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01361697,"threshold_uncertainty_score":0.4860306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05763884578371843,"score_gpt":0.3053229964392731,"score_spread":0.2476841506555547,"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."}}