{"id":"W4398519193","doi":"10.7910/dvn/4yhosk/rquvm7","title":"2018 Larkin et al Supplementary Material CCS expert elicitation_risk assessment issues.pdf","year":2019,"lang":"en","type":"dataset","venue":"Bristol Research (University of Bristol)","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Ottawa","funders":"","keywords":"Expert elicitation; Environmental science; Computer science; Mathematics; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.003167549,0.001811003,0.001224995,0.004466603,0.0007256953,0.003124431,0.002715287,0.003019614,0.2704281],"category_scores_gemma":[0.03834664,0.000773633,0.001674872,0.004451115,0.0005749442,0.001350793,0.002346933,0.001586859,0.1841626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001831482,"about_ca_system_score_gemma":0.003559942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01458718,"about_ca_topic_score_gemma":0.03843839,"domain_scores_codex":[0.9974588,0.0006814212,0.0004370657,0.000580174,0.0005961112,0.0002465482],"domain_scores_gemma":[0.98366,0.01027114,0.0008457746,0.002367947,0.00235328,0.0005018241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007385061,0.00001820103,0.0007459566,0.001211352,0.00004004092,0.00002333958,0.00002008321,0.00030805,0.00004947884,0.0004510944,0.9941443,0.002914414],"study_design_scores_gemma":[0.0004377187,0.0000234102,0.002506908,0.001118223,0.00008006268,0.00007945228,0.00007445317,0.0007070269,0.0002628651,0.003658311,0.9910155,0.00003609603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001041206,0.00006138327,0.0001756938,0.0001085118,0.00003289162,0.00002970391,0.9979733,0.0002904224,0.001223953],"genre_scores_gemma":[0.0007842378,0.00008474025,0.0008603586,0.0001707527,0.0000160225,0.0003445689,0.9962368,0.0001498629,0.001352648],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2704281,"threshold_uncertainty_score":0.9046722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1736326266491328,"score_gpt":0.4814716276163497,"score_spread":0.3078390009672168,"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."}}