{"id":"W2963236193","doi":"10.48550/arxiv.1401.0970","title":"Actions and Events in Concurrent Systems Design","year":2014,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Principle of compositionality; Morphism; Component (thermodynamics); Computer science; Context (archaeology); Programming language; Set (abstract data type); Theoretical computer science; Categorical variable; Component-based software engineering; Software system; Artificial intelligence; Software; Mathematics; Pure 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003157479,0.00007991147,0.0001096135,0.0001114789,0.00004658283,0.00001228127,0.0002983389,0.0000385727,5.700498e-7],"category_scores_gemma":[0.0001690967,0.00008854263,0.00001657433,0.0003128517,0.00002698811,0.0003286732,0.0001245861,0.00009463067,0.000009085588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006027227,"about_ca_system_score_gemma":0.00001332352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000147173,"about_ca_topic_score_gemma":0.000002468936,"domain_scores_codex":[0.9992701,0.0002017837,0.00006676705,0.0002802408,0.00002802069,0.0001530224],"domain_scores_gemma":[0.9990979,0.0005438557,0.00003583537,0.0002458526,0.00002197079,0.00005455577],"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":[0.00000207611,0.00001150935,0.002070413,0.000009355904,0.000004531374,0.000008686777,0.0000591793,0.8391418,0.00005617187,0.1572228,0.00001022224,0.00140325],"study_design_scores_gemma":[0.0004779023,0.0000671329,0.008976327,0.00003840382,0.000006002337,0.000008358382,0.00005005241,0.9669024,0.0001257635,0.02262842,0.0005045434,0.0002146921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04167734,0.00003870189,0.9576026,0.00001246703,0.0003488006,0.00008707066,2.784325e-7,0.0001680483,0.00006475514],"genre_scores_gemma":[0.9734184,0.00003221147,0.02637951,0.000007872705,0.00001089667,6.052313e-7,1.848221e-7,0.000003903529,0.0001463896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9317411,"threshold_uncertainty_score":0.3610664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1902210072157463,"score_gpt":0.222664251589397,"score_spread":0.0324432443736507,"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."}}