{"id":"W7132928485","doi":"","title":"Screening-level human health risk assessment: development and application of a multimedia urban risk model","year":2004,"lang":"","type":"dissertation","venue":"TSpace","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Risk assessment; Human health; Health risk; Flexibility (engineering); Health risk assessment; Baseline (sea); Risk management; Human life","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":[0.000441818,0.0006000656,0.0004054955,0.0006078462,0.0003639346,0.0008110676,0.001348073,0.0007755484,0.003136409],"category_scores_gemma":[0.001067453,0.0002993465,0.0006372423,0.0006014262,0.0003090674,0.0006117352,0.0006710693,0.0003782553,0.0003242918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002279929,"about_ca_system_score_gemma":0.002141008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06554066,"about_ca_topic_score_gemma":0.04318037,"domain_scores_codex":[0.9998281,0.00003618106,0.000009416762,0.00003357632,0.00006972738,0.00002302193],"domain_scores_gemma":[0.9997043,0.0001415161,0.00002486449,0.00001673757,0.00009559379,0.00001691944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001346133,0.00001177716,0.0006862273,0.00001666661,0.000009280932,0.00003444328,0.00001915904,0.9880752,0.0004450512,0.003975228,0.0003775928,0.006335946],"study_design_scores_gemma":[0.000004954978,0.00001085325,0.0002177665,0.00000393825,0.000008872149,0.00001369748,0.00001056522,0.9963652,0.0004642963,0.001615053,0.001278576,0.000006326505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1016255,0.0003013776,0.8604183,0.0005909173,0.00004288125,0.000403514,0.003276982,0.001317197,0.03202329],"genre_scores_gemma":[0.8140081,0.0004838586,0.1709695,0.00009569958,0.0000250874,0.0005851491,0.001639795,0.0001532104,0.01203951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06554066,"threshold_uncertainty_score":0.1303183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02557473294090578,"score_gpt":0.3449502432616527,"score_spread":0.3193755103207469,"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."}}