{"id":"W2128186797","doi":"10.1123/jsep.35.6.600","title":"A Cluster Analysis of Affective States Before and During Competition","year":2013,"lang":"en","type":"article","venue":"Journal of Sport and Exercise Psychology","topic":"Sport Psychology and Performance","field":"Psychology","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Psychology; Coping (psychology); Affect (linguistics); Cluster (spacecraft); Athletes; Multilevel model; Clinical psychology; Competition (biology); Developmental psychology; Social psychology; Statistics; Physical therapy; Communication; Medicine","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":[0.0003556968,0.0001571374,0.0006897551,0.0007258665,0.00006065025,0.00001034456,0.0001150828,0.0002015039,0.001765584],"category_scores_gemma":[0.000002520945,0.000126838,0.0001241294,0.0004199063,0.0002706832,0.0002069285,0.00002336392,0.0002824119,0.00001846507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008681689,"about_ca_system_score_gemma":0.000007520171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007455101,"about_ca_topic_score_gemma":0.00003967038,"domain_scores_codex":[0.9987982,0.00001314041,0.0006103281,0.0002355067,0.000106881,0.0002359487],"domain_scores_gemma":[0.9989053,0.00002230478,0.0005704625,0.0002082385,0.000171173,0.0001224967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001043544,0.0002194464,0.9828318,0.00002856445,0.0008321842,0.00004605996,0.004333175,0.00001157121,0.0001600858,0.0002464099,0.0009715218,0.009275684],"study_design_scores_gemma":[0.001491464,0.0004017657,0.9949023,0.00004841996,0.0005948085,0.0003790359,0.0008216584,0.0000285869,0.00003514084,0.0007059227,0.0004829874,0.0001079317],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961501,0.001103938,0.00004461333,0.0004518113,0.0005513079,0.0001574659,0.000004721981,0.000008230132,0.00152775],"genre_scores_gemma":[0.9980105,0.0010748,0.0001926213,0.0003464943,0.00008922182,0.00001126731,0.00001153176,0.00001193684,0.0002516692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01207052,"threshold_uncertainty_score":0.9991469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007911175543722207,"score_gpt":0.2948589631691038,"score_spread":0.2869477876253816,"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."}}