{"id":"W4407572054","doi":"10.52041/iase2023.401","title":"Flexible deadlines and statistical communication","year":2024,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer network; Distributed computing","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2849385,0.001432699,0.001676007,0.004433096,0.003785976,0.009742202,0.003236746,0.003999605,0.01817144],"category_scores_gemma":[0.7419207,0.002011927,0.001021948,0.003303011,0.006361219,0.01002679,0.009429922,0.009116871,0.009067539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005147619,"about_ca_system_score_gemma":0.01449189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001363353,"about_ca_topic_score_gemma":0.001061839,"domain_scores_codex":[0.6596293,0.270581,0.02783472,0.01103889,0.02758307,0.003333061],"domain_scores_gemma":[0.1740224,0.6257418,0.05113421,0.09554151,0.04008033,0.01347979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003245781,0.0006020048,0.01357616,0.00157375,0.0002257626,0.001020762,0.01551118,0.009404502,0.005417119,0.2100776,0.1048265,0.6345189],"study_design_scores_gemma":[0.001260807,0.00297255,0.01634662,0.003352255,0.0001258206,0.001627732,0.005934232,0.02950682,0.006926053,0.5197779,0.4115627,0.0006065936],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.03460134,0.002391229,0.828659,0.06102236,0.01117546,0.003086751,0.0008212146,0.003432002,0.05481061],"genre_scores_gemma":[0.5360935,0.002870695,0.3982395,0.01586295,0.009126894,0.01433133,0.0008418732,0.00220275,0.02043057],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2849385,"threshold_uncertainty_score":0.8817981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1873599860067864,"score_gpt":0.5185185645618514,"score_spread":0.331158578555065,"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."}}