{"id":"W2379926547","doi":"","title":"[Regional environment risk assessment and probability distribution of topsoil PAHs in Tianjin area].","year":2008,"lang":"en","type":"article","venue":"PubMed","topic":"Environmental Quality and Pollution","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Topsoil; Environmental science; Risk assessment; Kriging; Environmental protection; Soil water; Soil science; Statistics; Mathematics","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":[0.0007456389,0.0001091431,0.0001395799,0.00001376379,0.00008574272,0.000004354058,0.00008100424,0.00006743387,0.0002176357],"category_scores_gemma":[0.00003267894,0.0001037581,0.00003882299,0.00007768985,0.0004823809,0.0001634838,0.0001229509,0.0001238234,0.00001863141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000496704,"about_ca_system_score_gemma":0.00000473474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004229799,"about_ca_topic_score_gemma":0.00007799699,"domain_scores_codex":[0.9987056,0.0001980772,0.0002712994,0.0002854464,0.0003009349,0.0002387007],"domain_scores_gemma":[0.9995224,0.00007806151,0.0001152316,0.0001874684,9.735297e-7,0.00009589254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002922498,0.0002975703,0.9809564,0.000007036233,0.000004988528,0.000002055338,0.0001464568,0.0007579931,0.00009114576,0.00006410243,0.0002342287,0.01740883],"study_design_scores_gemma":[0.0003862517,0.00002825395,0.9951569,0.0000025467,0.000007654558,0.000006886391,0.00002471022,0.0002778936,0.0002351598,0.001557326,0.00220754,0.0001088753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977026,0.00004257683,0.0006292399,0.000391779,0.00002500644,0.0005066618,0.00009464425,0.00000936117,0.0005981211],"genre_scores_gemma":[0.9989508,0.0002365038,0.0003011396,0.00005949515,0.00001046229,0.0002787008,0.00007693434,0.000004483819,0.00008145532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01729995,"threshold_uncertainty_score":0.4231132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03188131027857824,"score_gpt":0.2163909066794822,"score_spread":0.1845095964009039,"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."}}