{"id":"W7160678700","doi":"","title":"Investigation of Hg speciation and binding biomolecules in terrestrial animal tissues","year":2011,"lang":"es","type":"article","venue":"DIGITAL.CSIC (Spanish National Research Council (CSIC))","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mercury (programming language); Genetic algorithm; MERCURE; Animal species; Heavy metals","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":[0.000104757,0.0001646077,0.0001210507,0.0003518907,0.0002954916,0.0002801682,0.000142079,0.0002096889,0.001711991],"category_scores_gemma":[0.00005205909,0.00006928643,0.0001211518,0.0002222277,0.0002502998,0.00009413601,0.0001243701,0.0001683282,0.0004022925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003844914,"about_ca_system_score_gemma":0.000331058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009591389,"about_ca_topic_score_gemma":0.01809088,"domain_scores_codex":[0.9999549,0.000005940034,0.000001149226,0.00001791894,0.000008923207,0.00001101074],"domain_scores_gemma":[0.9999577,0.000009973779,0.000006065647,0.000003085439,0.00001325108,0.000009963872],"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":[0.0001005157,0.00001423268,0.004937841,0.00007306061,0.0000137911,0.00006050419,0.0001033773,0.00004769817,0.9876687,0.00006819786,0.00009930577,0.006812755],"study_design_scores_gemma":[0.00001035053,0.0004853805,0.2187349,0.00002755138,0.00008598628,0.0005399753,0.0006741952,0.000650898,0.7622972,0.0002866175,0.01619345,0.00001363297],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864245,0.003817616,0.003797753,0.0001445823,0.00001328927,0.0000204376,0.0007606252,0.00004397726,0.004977197],"genre_scores_gemma":[0.9659137,0.003781439,0.005538062,0.0002712281,0.00002080935,0.00002524989,0.001374177,0.00002145082,0.02305387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009591389,"threshold_uncertainty_score":0.01907116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2769654473679908,"score_gpt":0.3506893483919203,"score_spread":0.07372390102392956,"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."}}