{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01449381,0.0001216982,0.0002320084,0.0004948268,0.0002342647,0.0004995525,0.0003712697,0.0001035553,0.000003262354],"category_scores_gemma":[0.009223534,0.0001071515,0.00003175859,0.0009876118,0.00007284238,0.0005756359,0.0002399185,0.0003055676,0.00005861019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001608076,"about_ca_system_score_gemma":0.0001327533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009445914,"about_ca_topic_score_gemma":0.0005885116,"domain_scores_codex":[0.9965012,0.000522208,0.0006896899,0.0006052329,0.001328088,0.0003535697],"domain_scores_gemma":[0.9962507,0.001745152,0.0002101438,0.0005967636,0.001019803,0.000177471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001180193,0.0001604017,0.694071,0.00001600628,0.00001225694,0.00001623421,0.009795402,0.08392666,0.006187597,0.006583255,0.04879677,0.1503164],"study_design_scores_gemma":[0.001794632,0.0001898509,0.06597675,0.0003236101,0.00001647576,0.00001459759,0.04018446,0.6973262,0.001690134,0.0784233,0.1132739,0.0007860934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843504,0.0002693015,0.002473595,0.002557262,0.0001401707,0.0004930955,0.000006476591,0.000124049,0.009585588],"genre_scores_gemma":[0.9937437,0.00002586082,0.005220851,0.00005341277,0.0002925608,0.00002857586,0.000006684463,0.00001804969,0.0006103581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6280942,"threshold_uncertainty_score":0.9991222,"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."}}