{"id":"W2345466405","doi":"10.1016/j.ifacol.2015.06.221","title":"Taking Ideas from Paper to Practice: A Case Study of Improving Design Processes through Detailed Modeling and Systematic Analysis","year":2015,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Span (engineering); Aerospace; Industrial engineering; Operations research; Management science; Process management; Systems engineering; Engineering; Civil engineering; Aerospace 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":[0.03128464,0.001379332,0.0007003726,0.003302165,0.005709304,0.007102442,0.002774569,0.00348789,0.003054674],"category_scores_gemma":[0.05496036,0.001340836,0.0009919343,0.00308977,0.006548531,0.005688461,0.004426843,0.00341005,0.0008529441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007218281,"about_ca_system_score_gemma":0.007892518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003674024,"about_ca_topic_score_gemma":0.006901576,"domain_scores_codex":[0.9594618,0.03096125,0.001266847,0.001335203,0.005327189,0.001647661],"domain_scores_gemma":[0.9053961,0.07051796,0.005819899,0.009658528,0.006327793,0.002279714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008895624,0.004832709,0.0327112,0.002159472,0.0002191653,0.01464607,0.4204658,0.04036089,0.01598604,0.0628226,0.005861003,0.3990455],"study_design_scores_gemma":[0.001073223,0.01155648,0.02318349,0.003647692,0.0004701249,0.007365758,0.5256455,0.08218326,0.02499832,0.0702081,0.2490197,0.0006484496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8495165,0.0006188611,0.1205419,0.00462017,0.00007786728,0.001566325,0.0001047529,0.0002512235,0.02270231],"genre_scores_gemma":[0.8871381,0.0006850222,0.1066414,0.0004581721,0.00001895643,0.0005369468,0.00009159021,0.0001660331,0.004263884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03128464,"threshold_uncertainty_score":0.165451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05310862918735201,"score_gpt":0.2830263380588384,"score_spread":0.2299177088714864,"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."}}