{"id":"W6926765654","doi":"10.25384/sage.19244034","title":"sj-docx-1-mdm-10.1177_0272989X221078789 – Supplemental material for Uncertainty and the Value of Information in Risk Prediction Modeling","year":2022,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Value of information; Value (mathematics); Risk assessment; Risk management; Information system; Complete information; Decision model","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00343373,0.00132811,0.001356512,0.00302164,0.001320491,0.00514183,0.003167745,0.0024575,0.8848567],"category_scores_gemma":[0.03984815,0.001405196,0.001194814,0.004893505,0.0006007611,0.004268587,0.002758335,0.002665215,0.6284922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002070034,"about_ca_system_score_gemma":0.003122473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01312913,"about_ca_topic_score_gemma":0.01896628,"domain_scores_codex":[0.9979626,0.0003442742,0.0002348662,0.0002797921,0.0009923378,0.0001862644],"domain_scores_gemma":[0.9697474,0.01838373,0.001033129,0.002345227,0.007485277,0.001005165],"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":[0.00003996729,0.00003048263,0.0002900774,0.0003810029,0.00001047807,0.00001553402,0.00002508138,0.0002234855,0.0000796697,0.001020366,0.9896315,0.008252389],"study_design_scores_gemma":[0.0002059716,0.00003706511,0.003036064,0.0009105173,0.00003607828,0.00009517904,0.0002457722,0.001440229,0.0008491857,0.01315862,0.9799073,0.00007793406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.00028949,0.0001697647,0.003488723,0.001476393,0.0006001912,0.0001586896,0.953486,0.005165132,0.0351656],"genre_scores_gemma":[0.01203048,0.0008515677,0.0178925,0.002849397,0.0009312413,0.001191156,0.8374878,0.01582109,0.1109449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8848567,"threshold_uncertainty_score":0.1642379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02161207866256905,"score_gpt":0.2650915959269047,"score_spread":0.2434795172643356,"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."}}