{"id":"W3112142839","doi":"10.12688/wellcomeopenres.16466.2","title":"Reproducible parallel inference and simulation of stochastic state space models using odin, dust, and mcstate","year":2021,"lang":"en","type":"preprint","venue":"Wellcome Open Research","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; National Institute for Health and Care Research; Medical Research Council Canada; Wellcome Trust; Wellcome","keywords":"Computer science; Inference; State space; Code (set theory); Suite; Range (aeronautics); Computation; Statistical inference; Theoretical computer science; Programming language; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002459611,0.0009581101,0.001083935,0.0005620035,0.0006983468,0.001267438,0.002716733,0.000999079,0.00758559],"category_scores_gemma":[0.008902385,0.0009206802,0.001889376,0.0005884385,0.001025095,0.001087151,0.001828668,0.002436406,0.002201603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137094,"about_ca_system_score_gemma":0.002707834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01450362,"about_ca_topic_score_gemma":0.01283669,"domain_scores_codex":[0.9990663,0.0002778433,0.00007599421,0.0001986528,0.0002875222,0.00009378271],"domain_scores_gemma":[0.9970639,0.001612737,0.0002093341,0.000599413,0.0003833884,0.0001311311],"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":[0.0002009755,0.0001054507,0.004089548,0.0002097263,0.0001265506,0.0002030023,0.000244144,0.9272339,0.003506979,0.03343761,0.008263256,0.02237887],"study_design_scores_gemma":[0.00003471306,0.00001050321,0.0001466425,0.000006890128,0.000008094573,0.00001802426,0.000007256136,0.9895313,0.001806751,0.00555109,0.002869287,0.000009554543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02197298,0.00008372349,0.9452203,0.0002215142,0.00009534043,0.0001142143,0.001638236,0.02687627,0.003777464],"genre_scores_gemma":[0.2772174,0.0002288406,0.7052617,0.000247914,0.00004930074,0.0009088273,0.004977396,0.00683589,0.00427267],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01450362,"threshold_uncertainty_score":0.0288384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.656253105390292,"score_gpt":0.5745760174492739,"score_spread":0.08167708794101813,"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."}}