{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.02623718,0.000727653,0.001015571,0.002950136,0.00552911,0.02106593,0.002419718,0.006149406,0.01612756],"category_scores_gemma":[0.0730773,0.0007000924,0.0007312681,0.002995781,0.02739999,0.0250248,0.01006042,0.01110353,0.003019703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007634283,"about_ca_system_score_gemma":0.01369276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006667387,"about_ca_topic_score_gemma":0.003633985,"domain_scores_codex":[0.9754905,0.01814227,0.0009992926,0.00132574,0.003306227,0.000736153],"domain_scores_gemma":[0.9122429,0.06493379,0.002345721,0.009901225,0.0055365,0.005039959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000240356,0.00002490411,0.0006588168,0.0001888003,0.00002233694,0.00003231249,0.001869112,0.002507575,0.00004596119,0.9252191,0.03365037,0.03575665],"study_design_scores_gemma":[0.00001903308,0.0000185605,0.0002743932,0.0006937108,0.000007496804,0.00002475153,0.001105403,0.00171989,0.00006924427,0.7358514,0.2601861,0.00002996192],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.008378463,0.07695072,0.05085735,0.5359849,0.01207428,0.0001209547,0.000249373,0.000811473,0.3145724],"genre_scores_gemma":[0.613713,0.148331,0.1044086,0.0607121,0.01697958,0.001171854,0.0004773741,0.001317361,0.05288912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9944709,"threshold_uncertainty_score":0.1387571,"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."}}