{"id":"W3157387139","doi":"10.1002/ieam.4433","title":"Open Science in regulatory environmental risk assessment","year":2021,"lang":"en","type":"article","venue":"Integrated Environmental Assessment and Management","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"European Commission; European Food Safety Authority","keywords":"Transparency (behavior); Relevance (law); Regulatory science; Open science; Value (mathematics); Skepticism; Political science; Open data; Risk management; Business; Public relations; Engineering ethics; Engineering; Medicine; Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002210135,0.0002943192,0.0002891146,0.000288863,0.001052968,0.0007405148,0.001017007,0.0000856912,0.003138408],"category_scores_gemma":[0.000008884286,0.0002996172,0.00006956009,0.000473507,0.001037146,0.001034239,0.002180271,0.0003375371,0.00007765115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00246984,"about_ca_system_score_gemma":0.0001971332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008295412,"about_ca_topic_score_gemma":0.001054514,"domain_scores_codex":[0.9963748,0.0004200005,0.0004474978,0.001006684,0.001096821,0.0006541575],"domain_scores_gemma":[0.9989678,0.00003464974,0.0001625428,0.0005386258,0.000009992667,0.0002864249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004869989,0.002977515,0.4628894,0.00004397704,0.0002163665,0.0004379252,0.004786813,0.0002698368,0.005655301,0.1164844,0.00464845,0.4015413],"study_design_scores_gemma":[0.001163638,0.00005441015,0.7478566,0.00004229951,0.00005597741,0.000002071612,0.03769017,0.0004736972,0.00008001905,0.001124304,0.2110869,0.0003699042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7477188,0.0001485165,0.0008675101,0.00159223,0.0005331156,0.00154542,0.00004305007,0.00007525294,0.2474762],"genre_scores_gemma":[0.9644247,0.0146939,0.008681902,0.0005211998,0.00003757034,0.0002049204,0.00009344077,0.00002385921,0.01131852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4011714,"threshold_uncertainty_score":0.9999456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336144716432093,"score_gpt":0.3242090651718402,"score_spread":0.3108476180075193,"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."}}