{"id":"W4391127846","doi":"10.61091/jcmcc117-03","title":"The Appropriate Scale of Competition Between Online Taxis and Taxis Based on the Lotka-Volterra Evolutionary Model","year":2023,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Taxis; Competition (biology); Scale (ratio); Mathematics; Computer science; Ecology; Biology; Engineering; Geography; Transport engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009208329,0.000560741,0.0009819692,0.0007602775,0.001069633,0.002079877,0.001606518,0.001870996,0.006194854],"category_scores_gemma":[0.003557071,0.0004555069,0.001252322,0.0005347548,0.001464164,0.00225275,0.001224384,0.001324327,0.0004109561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002102515,"about_ca_system_score_gemma":0.001259967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005193185,"about_ca_topic_score_gemma":0.003449507,"domain_scores_codex":[0.9995373,0.0001963776,0.00001319522,0.00007316551,0.00007150901,0.0001083999],"domain_scores_gemma":[0.9990183,0.0005376211,0.0001208517,0.00004019642,0.0001202545,0.0001627087],"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":[0.00004359803,0.00006398858,0.002338275,0.00008535884,0.00004477709,0.0003997555,0.0001787739,0.6755527,0.003149075,0.3116802,0.001330683,0.005132857],"study_design_scores_gemma":[0.00001455171,0.00002191668,0.00053289,0.00000947955,0.00001519317,0.00006922644,0.00006457064,0.9716545,0.0001172682,0.0268124,0.0006729419,0.0000150293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3191759,0.0006624223,0.611645,0.002080035,0.0001142883,0.0001885933,0.0001734135,0.0001419019,0.06581851],"genre_scores_gemma":[0.9731024,0.0002829375,0.01850336,0.0001124113,0.0000192077,0.0001547982,0.00004330957,0.00002649497,0.00775497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006194854,"threshold_uncertainty_score":0.02072388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06767134950477838,"score_gpt":0.3200759801956722,"score_spread":0.2524046306908939,"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."}}