{"id":"W7017381614","doi":"","title":"Análisis del grado de contaminación por metales pesados en sedimentos de ecosistemas acuáticos","year":2020,"lang":"es","type":"dissertation","venue":"renati","topic":"Public Health and Environmental Issues","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dredging; Sediment; Heavy metals; Pollution","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":[0.0009122069,0.0004973308,0.0005312554,0.004500663,0.001489189,0.002036678,0.0006109634,0.0007756545,0.003697347],"category_scores_gemma":[0.001282998,0.0002987159,0.0005626688,0.004644559,0.0005927427,0.000459747,0.0008601578,0.0004853899,0.0009972897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002051897,"about_ca_system_score_gemma":0.002164058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0967134,"about_ca_topic_score_gemma":0.221265,"domain_scores_codex":[0.9987463,0.0000742824,0.00006596449,0.0002094633,0.0007710874,0.0001330021],"domain_scores_gemma":[0.9982929,0.000196711,0.0002520547,0.00007382679,0.001086857,0.00009765296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008707771,0.0002447115,0.7058918,0.001416256,0.0003336261,0.0007852918,0.007487289,0.0009065903,0.1666477,0.0007432339,0.001478556,0.113194],"study_design_scores_gemma":[0.000005789263,0.0003247416,0.9375916,0.0001352739,0.0001431192,0.0003170966,0.005915501,0.0003420235,0.04012137,0.0002651716,0.01480922,0.00002904528],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839014,0.001379969,0.002414327,0.0001316123,0.00002219865,0.0001074265,0.002118334,0.00006674236,0.009857981],"genre_scores_gemma":[0.9478688,0.003692754,0.01037121,0.0001878064,0.00001855163,0.0001544175,0.002586979,0.0000552056,0.0350643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0967134,"threshold_uncertainty_score":0.1923009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181032057907713,"score_gpt":0.274183777130364,"score_spread":0.2623734565512869,"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."}}