{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01723095,0.0007443434,0.0006424228,0.005260924,0.0008852893,0.007831112,0.002606522,0.002920346,0.003881715],"category_scores_gemma":[0.05085486,0.0008202732,0.0008116226,0.004274879,0.004207471,0.01063478,0.002118635,0.003203112,0.0008677205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004877863,"about_ca_system_score_gemma":0.004148286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006854582,"about_ca_topic_score_gemma":0.006272749,"domain_scores_codex":[0.9869803,0.008614663,0.0007864821,0.000639285,0.002689562,0.0002896826],"domain_scores_gemma":[0.9170867,0.06780484,0.003762397,0.005512317,0.004912606,0.0009211779],"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":[0.00003541854,0.0001080955,0.002166006,0.0003002247,0.00002139534,0.0001598451,0.002440619,0.02384087,0.000268378,0.9415997,0.001916739,0.02714278],"study_design_scores_gemma":[0.00004996562,0.0000849089,0.001418593,0.001165579,0.00004299729,0.0002709191,0.003003006,0.1398236,0.0008039225,0.801968,0.0512912,0.00007726149],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06058442,0.007221493,0.7764552,0.01910935,0.0003754392,0.0003853375,0.0008157081,0.0008486513,0.1342045],"genre_scores_gemma":[0.794156,0.005396875,0.1881744,0.001453964,0.0001485764,0.0006828082,0.0006287468,0.0001852692,0.009173431],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01723095,"threshold_uncertainty_score":0.0911271,"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."}}