{"id":"W4416504104","doi":"10.1186/s40798-025-00932-8","title":"Pushing your luck: on chance, serendipity, and athlete development","year":2025,"lang":"en","type":"article","venue":"Sports Medicine - Open","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"","keywords":"Luck; Affect (linguistics); Athletes; Randomness","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":[0.0007688561,0.0002398234,0.0005648293,0.000298976,0.0002076502,0.00003201256,0.0001997435,0.00008737985,0.0004752775],"category_scores_gemma":[0.00003974135,0.0001771096,0.00002814851,0.0003277127,0.0001032234,0.0001848253,0.0002189614,0.0003042441,0.00001766071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006452582,"about_ca_system_score_gemma":0.0002817271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001223419,"about_ca_topic_score_gemma":0.00003076808,"domain_scores_codex":[0.9983326,0.000004913124,0.0004512581,0.0004465629,0.0004093976,0.000355313],"domain_scores_gemma":[0.9992325,0.00001826439,0.0001248856,0.0003729878,0.00006492267,0.0001864415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004719635,0.0001401956,0.6740282,0.000293679,0.0001586644,0.0006010811,0.004284509,0.000002143966,0.0001851507,0.002413464,0.00976174,0.3076592],"study_design_scores_gemma":[0.002685773,0.0001821256,0.7903892,0.003292972,0.00009605275,0.00005893674,0.001005308,0.00002296937,0.0006529476,0.0001597902,0.2012882,0.0001657819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8412555,0.0005116793,0.00002415734,0.004911452,0.000597921,0.0007413817,7.89899e-7,0.00006928377,0.1518878],"genre_scores_gemma":[0.976654,0.0002775648,0.0006922798,0.006485331,0.000278925,0.00004625004,0.00006965517,0.00002307532,0.0154729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3074934,"threshold_uncertainty_score":0.722232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04362246101263828,"score_gpt":0.351309149822237,"score_spread":0.3076866888095988,"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."}}