{"id":"W4409141507","doi":"10.21105/joss.07069","title":"Dynamax: A Python package for probabilistic state space modeling with JAX","year":2025,"lang":"en","type":"article","venue":"The Journal of Open Source Software","topic":"Gaussian Processes and Bayesian Inference","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Python (programming language); R package; Computer science; Programming language","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":[0.001457779,0.001386706,0.001378162,0.0009492017,0.0008578594,0.002206384,0.002935073,0.001338301,0.05515134],"category_scores_gemma":[0.006578918,0.001297957,0.002036063,0.0009546884,0.0006902382,0.001683346,0.002013523,0.003196581,0.02213556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007759261,"about_ca_system_score_gemma":0.002433135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005229137,"about_ca_topic_score_gemma":0.007237839,"domain_scores_codex":[0.9994587,0.0001320642,0.00006661507,0.0001232391,0.0001537342,0.00006564881],"domain_scores_gemma":[0.9979802,0.001183489,0.0001222393,0.0003390714,0.000259448,0.0001156686],"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":[0.0006002673,0.0003872259,0.004752817,0.002172988,0.0008428417,0.00069058,0.0005895855,0.2305185,0.008521564,0.135566,0.4145718,0.2007859],"study_design_scores_gemma":[0.0001611546,0.00003589312,0.0007334619,0.0001150457,0.00006812136,0.0002443699,0.000044605,0.7830858,0.006041296,0.101032,0.1083246,0.0001136192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002178925,0.0001453968,0.8011875,0.0002160971,0.0001833873,0.0001327053,0.01266721,0.1787237,0.004565172],"genre_scores_gemma":[0.07276153,0.0005633664,0.8017991,0.0008255354,0.000133789,0.001568538,0.02334177,0.08468273,0.01432359],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05515134,"threshold_uncertainty_score":0.1844996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644812374642047,"score_gpt":0.2735963559167433,"score_spread":0.2571482321703228,"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."}}