{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003275318,0.0002769877,0.0001429234,0.001133873,0.0001895438,0.0003539491,0.0003380519,0.0002264694,0.002822703],"category_scores_gemma":[0.0008209465,0.0002376443,0.0003590184,0.001051494,0.0001739577,0.0003625339,0.0002421185,0.0001348847,0.000240813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008095083,"about_ca_system_score_gemma":0.0007357923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05295827,"about_ca_topic_score_gemma":0.05412748,"domain_scores_codex":[0.9998709,0.00002146834,0.000008745024,0.00003001429,0.00005114019,0.00001775841],"domain_scores_gemma":[0.9997912,0.00004442126,0.00005151138,0.00002007992,0.0000764603,0.00001633505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004167862,0.00007542587,0.4503061,0.0005808633,0.0005019554,0.001577733,0.0005564603,0.3536711,0.01084614,0.0062026,0.014318,0.1609469],"study_design_scores_gemma":[0.00004244582,0.00009716715,0.7664033,0.00003366665,0.0002156132,0.0006174704,0.0003634698,0.2161117,0.002951115,0.003931337,0.009180377,0.00005228629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9217129,0.001436054,0.05698901,0.0004592413,0.00005208218,0.000160811,0.008280311,0.0005596004,0.01034994],"genre_scores_gemma":[0.986392,0.0002837149,0.008229215,0.00001656809,0.000006921636,0.00004196361,0.002921037,0.00001716958,0.002091387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05295827,"threshold_uncertainty_score":0.1053001,"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."}}