{"id":"W2514618218","doi":"","title":"Real simulation tools in introductory courses: packaging and repurposing our research code.","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Repurposing; Code (set theory); Computer science; Software engineering; Programming language; Engineering management; Engineering; Set (abstract data type)","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":[0.002979124,0.0007274772,0.0002809375,0.0005934965,0.0006025729,0.001519084,0.001972604,0.0008787818,0.01696029],"category_scores_gemma":[0.0188443,0.0006559616,0.0005691415,0.0006189626,0.0005892757,0.002078721,0.00137481,0.001809277,0.00424471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008534046,"about_ca_system_score_gemma":0.001546451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002715637,"about_ca_topic_score_gemma":0.003496409,"domain_scores_codex":[0.9985061,0.0006714192,0.0001043692,0.0001661016,0.000407893,0.000144167],"domain_scores_gemma":[0.98864,0.005553999,0.0002668961,0.00301231,0.001873751,0.0006530613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001820243,0.003545995,0.01678668,0.001062204,0.0001411697,0.0007187049,0.00673723,0.1463545,0.07474123,0.03813381,0.1028151,0.6071432],"study_design_scores_gemma":[0.0007379848,0.00183985,0.008289746,0.0005413935,0.0001574184,0.0005578192,0.001536832,0.5370004,0.1154143,0.02230855,0.3114022,0.0002135507],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.2532572,0.0004278642,0.6616065,0.002389471,0.0009727669,0.001681159,0.002397784,0.03812912,0.03913812],"genre_scores_gemma":[0.4180503,0.0003289693,0.5537713,0.0004168464,0.00006890231,0.0009739846,0.002950045,0.008174964,0.01526464],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01696029,"threshold_uncertainty_score":0.05673784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3811112521813576,"score_gpt":0.5290612014352589,"score_spread":0.1479499492539013,"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."}}