{"id":"W4377008668","doi":"10.23977/cpcs.2023.070105","title":"Evolution and Equilibrium of Collaborative Innovation System of Low-Carbon Technology: Simulation of a Multi-stakeholders Game Model","year":2023,"lang":"en","type":"article","venue":"Computing Performance and Communication systems","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Premise; Bounded rationality; Investment (military); Business; Evolutionary game theory; Evolutionarily stable strategy; Industrial organization; Knowledge management; Marketing; Economics; Game theory; Microeconomics; Computer science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002961029,0.0001151668,0.0003859874,0.001346497,0.000121917,0.00003515128,0.0003256581,0.0001260522,3.926969e-7],"category_scores_gemma":[0.0005268162,0.0001027907,0.00002089726,0.005528179,0.0002584663,0.0002243799,0.0002838168,0.0001151292,0.000001125959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003648228,"about_ca_system_score_gemma":0.00007996245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001198184,"about_ca_topic_score_gemma":0.000001041332,"domain_scores_codex":[0.9975727,0.0001493566,0.001439868,0.0002184123,0.0004882688,0.0001314486],"domain_scores_gemma":[0.995138,0.000367949,0.001659892,0.0005653086,0.00224992,0.00001891373],"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":[0.00004958827,0.00003758126,0.05887653,0.0004794414,0.00001807688,7.51721e-8,0.004461041,0.8978333,0.0142548,0.01612218,0.00001649233,0.007850888],"study_design_scores_gemma":[0.0005198143,0.0000496085,0.01170424,0.0006448256,0.000005774955,0.000001829765,0.0101535,0.9757015,0.001008201,0.0001179012,0.000009163694,0.0000836047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779613,0.0002359716,0.02086208,0.00003880658,0.00008578454,0.0003372722,0.00000970279,0.00007276131,0.0003963485],"genre_scores_gemma":[0.9991578,0.00001665013,0.0007257052,0.000003507603,0.000008519919,0.000007687019,0.00001174572,0.000008836732,0.0000594915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07786823,"threshold_uncertainty_score":0.4191684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1747883444389203,"score_gpt":0.3608864619615159,"score_spread":0.1860981175225956,"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."}}