{"id":"W4399809040","doi":"10.1145/3673226","title":"Context, Composition, Automation, and Communication: The C <sup>2</sup> AC Roadmap for Modeling and Simulation","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Modeling and Computer Simulation","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Context (archaeology); Automation; Composition (language); Computer science; Engineering","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":[0.01291436,0.001671002,0.001312512,0.003235831,0.003402828,0.01647327,0.003557015,0.005030184,0.01573866],"category_scores_gemma":[0.01850729,0.001375712,0.002785753,0.004631006,0.01737482,0.01963938,0.007463875,0.005992889,0.003111993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006250256,"about_ca_system_score_gemma":0.01089212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01947526,"about_ca_topic_score_gemma":0.01634075,"domain_scores_codex":[0.9865685,0.008945857,0.0007924385,0.00121397,0.001892623,0.0005865889],"domain_scores_gemma":[0.9812295,0.01124368,0.001129468,0.002955488,0.002148629,0.001293123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004948117,0.00002228858,0.0006290175,0.0003638719,0.00002879594,0.00008380443,0.0007632369,0.007904939,0.0003193796,0.9391114,0.005542088,0.04518168],"study_design_scores_gemma":[0.00002570365,0.000047333,0.0004482871,0.0007189516,0.00004468442,0.0001515219,0.0007197979,0.02957814,0.0005170033,0.79296,0.1747372,0.00005131171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007014541,0.01813219,0.838517,0.04865098,0.001829687,0.0004219326,0.000278111,0.001362905,0.08379277],"genre_scores_gemma":[0.1742265,0.01884606,0.7834997,0.004973844,0.001822368,0.001170971,0.0004081219,0.0006908078,0.01436162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01947526,"threshold_uncertainty_score":0.06829846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1132068962270859,"score_gpt":0.368952022514986,"score_spread":0.2557451262879001,"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."}}