{"id":"W2137447925","doi":"10.5555/2675983.2675936","title":"Simulation of Canadian nanotechnology innovation network","year":2013,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Scopus; Context (archaeology); Field (mathematics); Data science; Knowledge management; Computer science; Nanotechnology; Work (physics); Engineering; Political science; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000150165,0.0001266538,0.0001443466,0.001172147,0.000111558,0.0001427309,0.0001521385,0.0001565116,0.001533385],"category_scores_gemma":[0.0002041448,0.0001282115,0.00002216606,0.002922239,0.00005508616,0.001694855,0.00003762271,0.0001090684,0.0003054705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002551223,"about_ca_system_score_gemma":0.00005089126,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01641466,"about_ca_topic_score_gemma":0.005066881,"domain_scores_codex":[0.9990184,0.000006853747,0.0004419296,0.0001872528,0.0001275359,0.0002179755],"domain_scores_gemma":[0.997882,0.0000487181,0.000323698,0.0001907316,0.001547538,0.000007309512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009342761,0.00001303178,0.01107271,0.00003426871,0.000009138986,2.71892e-7,0.00001976033,0.786045,0.0005805973,0.1902468,0.0005632747,0.01140589],"study_design_scores_gemma":[0.0002090608,0.000007444557,0.03912629,0.00004570754,0.000008205736,1.110782e-7,0.00003007762,0.9189975,0.0000796949,0.02011458,0.02123331,0.0001480546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7711689,0.00001086597,0.1948317,0.003809074,0.0007785451,0.0006356977,0.000002399989,0.0001991666,0.02856358],"genre_scores_gemma":[0.997996,5.608708e-7,0.0002835959,0.001083838,0.0003814838,0.00001472429,0.0001042048,0.00001291424,0.0001226985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.226827,"threshold_uncertainty_score":0.9993793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04528758049532128,"score_gpt":0.2450352219555099,"score_spread":0.1997476414601886,"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."}}