{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008815591,0.000631177,0.0006131823,0.002018307,0.001824129,0.001759547,0.001819677,0.001451616,0.008787868],"category_scores_gemma":[0.00623374,0.0003516444,0.0008060095,0.003278301,0.0009266858,0.001035876,0.001263535,0.000842208,0.0003923531],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01230258,"about_ca_system_score_gemma":0.01151282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8512248,"about_ca_topic_score_gemma":0.7278197,"domain_scores_codex":[0.999321,0.0001597541,0.00002451845,0.0001203874,0.0001404058,0.00023385],"domain_scores_gemma":[0.9970873,0.001338077,0.0002724745,0.0001128788,0.0008686889,0.0003207168],"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":[0.00006474381,0.00003052139,0.006308271,0.00003536386,0.00002014814,0.00008102807,0.0001111225,0.9757406,0.0001120671,0.01348179,0.00171039,0.002304065],"study_design_scores_gemma":[0.00004318134,0.00001544404,0.002499214,0.00001172321,0.00001526038,0.00001413978,0.0001756103,0.9923146,0.0000898061,0.002453677,0.002352149,0.0000152475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.869307,0.0008296017,0.02301758,0.003127062,0.0001850393,0.0002480561,0.009793792,0.0003585944,0.09313317],"genre_scores_gemma":[0.9795421,0.0004751799,0.007804121,0.0001160985,0.0000169899,0.0001613224,0.002526024,0.0000272161,0.00933105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9876974,"threshold_uncertainty_score":0.2993026,"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."}}