{"id":"W4415512746","doi":"10.21105/joss.08334","title":"E2P Simulator: An Interactive Tool for Estimating Real-World Predictive Utility of Research Findings","year":2025,"lang":"","type":"article","venue":"The Journal of Open Source Software","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research; Krembil Foundation","keywords":"Open source; Predictive modelling; R package; Predictive value; Clinical decision making","routes":{"ca_aff":true,"ca_fund":true,"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":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.01388683,0.0002825419,0.0007788835,0.0006802604,0.001018743,0.001186907,0.006075972,0.0001120894,0.0001212145],"category_scores_gemma":[0.006542965,0.0002146112,0.0002364038,0.002185014,0.0005524869,0.002942017,0.003016226,0.001042345,0.00000413943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002367132,"about_ca_system_score_gemma":0.001441743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002407716,"about_ca_topic_score_gemma":0.00004337983,"domain_scores_codex":[0.9947074,0.001554806,0.001660741,0.0004260986,0.001116007,0.0005349177],"domain_scores_gemma":[0.9876407,0.005750047,0.001403513,0.001136308,0.003870389,0.0001990267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01267094,0.004880976,0.07596376,0.002561462,0.003576684,0.0000416177,0.1602264,0.2038132,0.0003144316,0.01619182,0.09824596,0.4215128],"study_design_scores_gemma":[0.001506795,0.001001824,0.004454576,0.00236274,0.0002375116,0.0000126369,0.004547993,0.9738659,0.00100984,0.006858088,0.003928762,0.0002133105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03469389,0.00007869099,0.9622453,0.0006834267,0.0005931116,0.001062436,0.0001650541,0.00002480664,0.0004532491],"genre_scores_gemma":[0.9430189,0.00004876991,0.05374197,0.0002774968,0.0002061753,0.000006822202,0.00001202126,0.00003064025,0.002657209],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9085034,"threshold_uncertainty_score":0.99985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09271475147312076,"score_gpt":0.4616549664918029,"score_spread":0.3689402150186821,"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."}}