{"id":"W6929839992","doi":"10.5281/zenodo.10002201","title":"Simulation-Based Inference for the Synchronization of Business Cycles","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Immune Response and Inflammation","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Synchronization (alternating current); Inference; Business cycle; Scheme (mathematics)","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":[0.007758037,0.001085506,0.003445778,0.002445775,0.001182756,0.002111259,0.003043215,0.002760265,0.006786981],"category_scores_gemma":[0.05134054,0.002048632,0.002310128,0.001797676,0.002110527,0.002443553,0.002132772,0.003724932,0.0006271701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002364179,"about_ca_system_score_gemma":0.003424544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02750019,"about_ca_topic_score_gemma":0.01932007,"domain_scores_codex":[0.9974639,0.001405671,0.0001313426,0.0005259293,0.000238264,0.0002347278],"domain_scores_gemma":[0.9213757,0.0735606,0.001415517,0.001655714,0.001144434,0.0008480827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001235669,0.00003495039,0.001016985,0.00003780538,0.000073869,0.00002893267,0.00002935491,0.9773985,0.0000952753,0.01583371,0.0003223992,0.005004671],"study_design_scores_gemma":[0.00001414382,0.000003784303,0.00006458005,0.000003923654,0.000005415881,0.000002780414,0.000002061855,0.9917176,0.00003739222,0.008079647,0.00006565437,0.000002904062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06467018,0.0007879229,0.9297599,0.0008493454,0.0001376568,0.00008887648,0.000614599,0.001027959,0.002063652],"genre_scores_gemma":[0.8866178,0.0004961624,0.1078001,0.0002087276,0.0002035146,0.0002954533,0.001455793,0.0002483446,0.002674026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02750019,"threshold_uncertainty_score":0.05468023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03663699267674085,"score_gpt":0.2708478506202792,"score_spread":0.2342108579435384,"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."}}