{"id":"W28449923","doi":"10.1016/j.ijpharm.2016.11.032","title":"Realizing associated evolution courses: The co-evolution in the artificial world of manufacturing","year":2010,"lang":"en","type":"article","venue":"International Conference on Evolutionary Computation","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Manufacturing engineering; 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":[0.0007916275,0.0001730011,0.0001421856,0.0006053117,0.0002885721,0.0002441822,0.0005386127,0.00007558882,0.0002110306],"category_scores_gemma":[0.000332211,0.0001337524,0.00007453314,0.0006302586,0.000162663,0.0008713703,0.00006576422,0.0004085432,0.0000943669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002503133,"about_ca_system_score_gemma":0.0001185518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007356864,"about_ca_topic_score_gemma":0.002891163,"domain_scores_codex":[0.9981025,0.00008299458,0.0005276666,0.0002737612,0.0008187002,0.0001943197],"domain_scores_gemma":[0.9983545,0.0002793307,0.0005458019,0.0001967884,0.0006147758,0.000008806474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001545247,0.0003513552,0.0235664,0.00001554497,0.00003714392,0.000004063211,0.0001754639,0.03083125,0.002158102,0.9363539,0.004623194,0.001729112],"study_design_scores_gemma":[0.0006046923,0.00002737409,0.5522324,0.0001340772,0.00003077877,0.000005295861,0.001762563,0.3205134,0.0001490423,0.1217329,0.002542821,0.0002646046],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8749761,0.00002048903,0.02774023,0.01372359,0.003394316,0.0009513383,0.00006045869,0.0001698313,0.07896362],"genre_scores_gemma":[0.9982902,0.000001691382,0.0000916608,0.0003899727,0.0007745321,0.00005537155,0.0002909565,0.00001318443,0.00009237961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.814621,"threshold_uncertainty_score":0.5454263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0327169371316274,"score_gpt":0.2972715094677815,"score_spread":0.2645545723361541,"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."}}