{"id":"W7030259791","doi":"","title":"Metais pesados nos sedimentos ativos de corrente na confluência dos rios Piranhas e Seridó, estado do RN","year":2014,"lang":"pt","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Food supply; Amazon rainforest; 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":[0.001151866,0.000468785,0.0005856644,0.002924401,0.00188377,0.002697083,0.0008632779,0.0004620109,0.002423228],"category_scores_gemma":[0.003365793,0.0004332512,0.0005682985,0.00603565,0.00142158,0.0008916482,0.001805555,0.0003668811,0.000392221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005438754,"about_ca_system_score_gemma":0.004508235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3390889,"about_ca_topic_score_gemma":0.6606819,"domain_scores_codex":[0.9986524,0.0001511871,0.00009933387,0.0003442944,0.0005904117,0.0001624967],"domain_scores_gemma":[0.9983188,0.0002118798,0.0005665917,0.000117543,0.000708716,0.00007647341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002133928,0.00002865341,0.8676192,0.001078468,0.0003424206,0.0008533047,0.02299581,0.001232107,0.01759364,0.003687059,0.0009165002,0.08343946],"study_design_scores_gemma":[0.000004239756,0.00009294414,0.952355,0.0001591192,0.0001404843,0.0003732138,0.01403488,0.0003215568,0.003427389,0.0004902833,0.02856873,0.00003222486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613653,0.003233961,0.002059378,0.0005224616,0.00003492119,0.00005429424,0.001654545,0.00005721182,0.03101792],"genre_scores_gemma":[0.9892914,0.001510723,0.003145074,0.00008600129,0.00001298462,0.00004333639,0.000440154,0.00002426046,0.005446132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3390889,"threshold_uncertainty_score":0.6742303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01921482294491705,"score_gpt":0.2448373155403507,"score_spread":0.2256224925954337,"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."}}