{"id":"W2059055128","doi":"10.1080/026404102320675620","title":"Sport competition as a dynamical self-organizing system","year":2002,"lang":"en","type":"article","venue":"Journal of Sports Sciences","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":449,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"National Center for Research Resources","keywords":"CONTEST; Competition (biology); Dynamical systems theory; Squash; Computer science; Psychology; Data science; Operations research; Mathematics; Political science; Physics; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00103527,0.00009614905,0.0004503137,0.0003630318,0.0002035031,0.0001247607,0.0002633816,0.00004113394,0.001699042],"category_scores_gemma":[0.00001665989,0.00008566796,0.0001824193,0.0005814779,0.00007667598,0.0003291698,0.00002810391,0.0001008379,0.0001732303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001162731,"about_ca_system_score_gemma":0.00001801073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001329421,"about_ca_topic_score_gemma":0.000005421775,"domain_scores_codex":[0.9985107,0.000004711005,0.0009369031,0.0001903958,0.0001649242,0.0001924255],"domain_scores_gemma":[0.9986005,0.00001205933,0.001087008,0.0001217021,0.00007568399,0.0001029837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000006458395,0.0001243851,0.2456039,0.00005630053,0.00008227328,0.0001995086,0.0006435402,0.0003595293,0.00001899775,0.7519188,0.0004801876,0.0005061016],"study_design_scores_gemma":[0.002689449,0.002016996,0.4068247,0.001470515,0.0002897322,0.01050425,0.01677264,0.203245,0.0001193406,0.03819294,0.315523,0.002351359],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9406413,0.001779109,0.0003363249,0.0004331326,0.000584084,0.00005091173,0.000003746439,0.00002390935,0.05614749],"genre_scores_gemma":[0.9980884,0.0001314778,0.001094465,0.00003691739,0.0002229888,4.684535e-7,3.790278e-7,0.000006736917,0.0004182362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7137259,"threshold_uncertainty_score":0.9992135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02073992128469785,"score_gpt":0.195715168970952,"score_spread":0.1749752476862541,"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."}}