{"id":"W2131960698","doi":"10.1123/jsep.2013-0043","title":"A Point-by-Point Analysis of Performance in a Fencing Match: Psychological Processes Associated with Winning and Losing Streaks","year":2014,"lang":"en","type":"article","venue":"Journal of Sport and Exercise Psychology","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Psychology; Social psychology; Cognitive psychology; Multilevel model; Structural equation modeling; Dependency (UML); Fencing; Statistics; Computer science; Artificial intelligence; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0009594508,0.0001716974,0.0008267615,0.0006454767,0.00006194525,0.0000157555,0.0001333391,0.0002018078,0.0001443732],"category_scores_gemma":[0.00001766222,0.0001303671,0.000093289,0.0008284356,0.0001768834,0.00019217,0.00001895338,0.000411888,0.000001248957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002301465,"about_ca_system_score_gemma":0.00001893353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005186506,"about_ca_topic_score_gemma":0.00008693612,"domain_scores_codex":[0.998273,0.00003063579,0.0009288145,0.0002813469,0.0001529775,0.0003331923],"domain_scores_gemma":[0.998656,0.00003491585,0.0007977236,0.0001644868,0.0001855351,0.0001613055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009240166,0.0007354466,0.9801043,0.00004653351,0.0001461461,0.0000318298,0.001336204,0.000007418916,0.0000758595,0.00006078342,0.0003020994,0.01622931],"study_design_scores_gemma":[0.001763523,0.001684962,0.9939864,0.0006281373,0.0004942595,0.0001454712,0.000831439,0.00004181263,0.00002315741,0.00007093521,0.0001903846,0.0001395399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969583,0.001059068,0.0001988946,0.0002696208,0.0001390872,0.0001138645,0.000004717675,0.000009473048,0.001246972],"genre_scores_gemma":[0.9989362,0.0003629631,0.0002855394,0.0002768528,0.00002660285,0.000007889418,0.000009055071,0.00001335364,0.00008159001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01608977,"threshold_uncertainty_score":0.5316217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03218628657732943,"score_gpt":0.3571315565501187,"score_spread":0.3249452699727893,"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."}}