{"id":"W2792664605","doi":"10.6093/unina/fedoa/11529","title":"Advanced geochemical survey and environmental multiscalar risk assessment methodologies applied on topsoils of Campania region (Italy) and in selected areas with high anthropic impact","year":2017,"lang":"en","type":"article","venue":"Università degli Studi di Napoli Federico II","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental planning; Risk assessment; Environmental impact assessment; Environmental resource management; Population; Environmental protection; Risk analysis (engineering); Geography; Environmental science; Business; Environmental health; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002294931,0.0002473239,0.0004125823,0.00007856925,0.0006409683,0.0000653954,0.0004284123,0.0001081789,0.000003244537],"category_scores_gemma":[0.0001845865,0.0002033004,0.00002937587,0.0001475233,0.0003747853,0.0002433455,0.0007494827,0.0002253786,2.446299e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000124681,"about_ca_system_score_gemma":0.00004237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007868307,"about_ca_topic_score_gemma":0.0001335454,"domain_scores_codex":[0.9986175,0.0001567149,0.0001638627,0.000552242,0.0001852748,0.0003243894],"domain_scores_gemma":[0.9987253,0.0003137131,0.0003133519,0.000504298,0.00004755959,0.0000958013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003844234,0.0002746773,0.9722472,0.00002759207,0.0001383826,0.00008249819,0.0008854637,0.0004941254,0.0173066,0.0003530653,0.000049645,0.007756314],"study_design_scores_gemma":[0.00174214,0.0004043895,0.9841682,0.00002918516,0.00001972426,0.00001546277,0.0007989884,0.0009137557,0.0114646,0.0001804874,0.00002056228,0.0002424495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927779,0.00005200978,0.005887109,0.000184138,0.00002768424,0.000243679,0.00002104938,0.00003508956,0.0007712818],"genre_scores_gemma":[0.9940752,0.000160876,0.005657505,0.000008957206,0.000008099987,0.000004069173,0.00001743383,0.000003978214,0.00006388083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01192104,"threshold_uncertainty_score":0.829035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01956434722050374,"score_gpt":0.2618666802560206,"score_spread":0.2423023330355168,"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."}}