{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.1400995,0.001225043,0.001653226,0.005625417,0.006028068,0.02311402,0.003789837,0.01691302,0.0113059],"category_scores_gemma":[0.1445604,0.0009360879,0.002123636,0.003567548,0.04792741,0.02283761,0.01905452,0.02027215,0.002015415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01162736,"about_ca_system_score_gemma":0.02416873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003418887,"about_ca_topic_score_gemma":0.002373891,"domain_scores_codex":[0.8383397,0.1035307,0.006761052,0.006543076,0.04174253,0.003082905],"domain_scores_gemma":[0.6668162,0.2594761,0.01553721,0.01944326,0.03421431,0.004513068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002592793,0.00004777621,0.0004343501,0.0004639286,0.00002787104,0.0001330074,0.0009022845,0.00246098,0.0001840749,0.9599602,0.007105005,0.02825467],"study_design_scores_gemma":[0.00001229613,0.00002909545,0.0001818384,0.001194368,0.00001471878,0.00006516658,0.0005841265,0.001377724,0.0003958552,0.9335869,0.06252203,0.0000358125],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.008075434,0.03662848,0.2149363,0.4082994,0.006259389,0.0003815604,0.0001676153,0.0003094542,0.3249425],"genre_scores_gemma":[0.7532649,0.02812869,0.1187173,0.06836669,0.008503004,0.0008779777,0.0001842628,0.0002904165,0.02166681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9962102,"threshold_uncertainty_score":0.7409257,"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."}}