{"id":"W2524984006","doi":"10.1145/2976767.2976808","title":"Descriptive vs prescriptive models in industry","year":2016,"lang":"en","type":"article","venue":"","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Volvo (Canada)","funders":"VINNOVA","keywords":"Computer science; Context (archaeology); Context model; Data science; Management science; Knowledge management; Artificial intelligence; Engineering","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":[0.0002053429,0.00008777304,0.000086753,0.00009777526,0.00001697488,0.00005287645,0.0005148925,0.0001264332,0.00003084095],"category_scores_gemma":[0.00008235304,0.00005650859,0.00002118499,0.0002103044,0.00001668953,0.001772437,0.000182103,0.0001790642,0.00001988358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000617775,"about_ca_system_score_gemma":0.00003270307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001177512,"about_ca_topic_score_gemma":0.000007407757,"domain_scores_codex":[0.9993103,0.00003429541,0.000115278,0.0002329364,0.0001167023,0.0001904868],"domain_scores_gemma":[0.9993951,0.0001670328,0.00003084596,0.0003200496,0.00003428386,0.00005264873],"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":[0.00003103993,0.0001072456,0.005457837,0.000008262601,0.00002219629,0.00006128694,0.001832515,0.0005490364,0.001690902,0.8881459,0.01063701,0.09145677],"study_design_scores_gemma":[0.002125977,0.0008254657,0.0443766,0.0005809228,0.00001325649,0.00009910587,0.0002097289,0.2083634,0.05551686,0.6418672,0.04414907,0.001872404],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0114243,0.00003533885,0.980236,0.001311965,0.0001397549,0.00009069083,8.857841e-7,0.0005581844,0.00620288],"genre_scores_gemma":[0.829971,0.00001957904,0.1684757,0.0001660991,0.00001906286,0.00002539218,6.436319e-8,0.000005797819,0.001317303],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8185467,"threshold_uncertainty_score":0.2304354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03606824677986702,"score_gpt":0.2511759959991515,"score_spread":0.2151077492192845,"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."}}