{"id":"W2783569462","doi":"10.1007/s12599-017-0514-0","title":"Modeling Simultaneous Cooperation and Competition Among Enterprises","year":2018,"lang":"en","type":"article","venue":"Business & Information Systems Engineering","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Coopetition; Competition (biology); Knowledge management; Exploratory research; Information system; Management science; Representation (politics); Business; Decision support system; Process management; Computer science; Game theory; Engineering; Economics; Microeconomics; Artificial intelligence; Political science","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":[0.001870104,0.0008781708,0.001117093,0.0009387867,0.001022812,0.002777835,0.002452558,0.003511737,0.009554317],"category_scores_gemma":[0.008114567,0.001251127,0.001233968,0.001374744,0.001854693,0.004205711,0.002234139,0.001917291,0.0006168298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001915275,"about_ca_system_score_gemma":0.002148981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02416504,"about_ca_topic_score_gemma":0.01641058,"domain_scores_codex":[0.9989164,0.000454095,0.00003811136,0.0001859474,0.0001179753,0.0002874689],"domain_scores_gemma":[0.9920647,0.006470998,0.0004962205,0.0002149907,0.0002852209,0.0004678311],"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":[0.0000661275,0.00009307054,0.00156285,0.00002375888,0.0000384638,0.0001595949,0.0001171555,0.9528149,0.0002605418,0.04205674,0.0003829078,0.002423827],"study_design_scores_gemma":[0.00001270476,0.00001106565,0.0001386847,0.00000179162,0.000008757089,0.000009335628,0.000045712,0.9922834,0.0000292332,0.007284791,0.0001715097,0.00000301652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7191647,0.0004655334,0.239374,0.002379183,0.0001442361,0.0001076128,0.0003284611,0.0002696412,0.03776662],"genre_scores_gemma":[0.9766446,0.0001574894,0.01230507,0.00007559946,0.0000407771,0.00009222448,0.0001223032,0.0000401908,0.01052184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02416504,"threshold_uncertainty_score":0.04804873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008265686689111934,"score_gpt":0.1787889760619516,"score_spread":0.1705232893728397,"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."}}