{"id":"W2014538424","doi":"10.1016/j.envint.2008.07.008","title":"Assessment of soil quality using bioaccessibility-based models and a biomarker index☆","year":2008,"lang":"en","type":"article","venue":"Environment International","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Biotechnology Research Institute","funders":"","keywords":"Environmental science; Soil water; Bioavailability; Environmental chemistry; Soil quality; Biomarker; Contamination; Soil science; Chemistry; Ecology; Biology; Bioinformatics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003876868,0.0001679449,0.0002025434,0.00006780171,0.0001672173,0.000007706091,0.0002435316,0.0001325933,0.006596625],"category_scores_gemma":[0.00001170537,0.0001666812,0.00007166607,0.00006416102,0.001005866,0.0002808485,0.0003592611,0.0001382656,0.0000290816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000368256,"about_ca_system_score_gemma":0.00001478498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001738262,"about_ca_topic_score_gemma":0.00003075636,"domain_scores_codex":[0.9983735,0.0001275341,0.000416252,0.0004398116,0.0004308037,0.0002120705],"domain_scores_gemma":[0.999395,0.00007977658,0.0001812648,0.0002491408,0.000002077429,0.00009271739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000339415,0.0005074193,0.8267071,0.000004890845,0.00003481268,0.000007870659,0.00004830617,0.131042,0.04106411,0.0001532943,0.0000460272,0.0003501627],"study_design_scores_gemma":[0.0006333697,0.00005074771,0.7786589,0.000004051649,0.000008729909,0.00001568726,0.00001978323,0.2164871,0.00297651,0.000685084,0.0003081813,0.0001518072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734756,0.00001765926,0.01865402,0.0001508439,0.0001202195,0.0001727111,0.00003721038,0.0000137925,0.007357996],"genre_scores_gemma":[0.9914772,0.00005501703,0.007770478,0.0003081314,0.00001579401,0.00002311829,0.00002531306,0.00001247895,0.000312454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08544508,"threshold_uncertainty_score":0.9943115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07511854829059574,"score_gpt":0.3366688158217415,"score_spread":0.2615502675311457,"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."}}