{"id":"W2861366737","doi":"10.5465/ambpp.2018.18525symposium","title":"The Role of Computer Simulations in Science and the Academy","year":2018,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Toolbox; Variety (cybernetics); Computer science; Perspective (graphical); Engineering ethics; Psychology; Library science; Operations research; Data science; Engineering; Artificial intelligence","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001442962,0.00006743463,0.00008557281,0.00008194382,0.0001512742,0.00003031345,0.0005405058,0.00007188173,0.00000202353],"category_scores_gemma":[0.0001395106,0.00003875438,0.00002132504,0.0002772888,0.002732656,0.00001119172,0.0005984888,0.0001049996,0.000001503537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006765622,"about_ca_system_score_gemma":0.000015442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003132043,"about_ca_topic_score_gemma":7.827636e-7,"domain_scores_codex":[0.9989453,0.000007913534,0.0002630382,0.0001539923,0.000412509,0.0002172412],"domain_scores_gemma":[0.9996601,0.00003031901,0.0001023765,0.00005416501,0.0001094432,0.00004362241],"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":[0.0007505489,0.0001659835,0.01290466,0.0004866206,0.0002340917,1.123081e-7,0.002600419,0.00002263901,0.2046629,0.1737409,0.01010589,0.5943252],"study_design_scores_gemma":[0.003428778,0.0004841265,0.08444724,0.000119698,0.00005162817,0.000003217634,0.002318187,0.03595782,0.4119364,0.02053107,0.4404267,0.000295109],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855344,0.0004681624,0.0001090716,0.004587688,0.00003002583,0.0005467408,0.000002787258,0.000004095089,0.008716996],"genre_scores_gemma":[0.9977399,0.0009003725,0.0007259735,0.0003797125,0.00009373505,0.000007317321,5.817103e-7,0.000003594777,0.0001488131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5940301,"threshold_uncertainty_score":0.9999813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01395813630955268,"score_gpt":0.291858228999601,"score_spread":0.2779000926900483,"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."}}