{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00551487,0.0003054237,0.0004438607,0.001133897,0.001193992,0.003800901,0.0006816172,0.0008481333,0.00312421],"category_scores_gemma":[0.0173326,0.0002174548,0.0003064685,0.0008196895,0.008694662,0.002474682,0.003526011,0.001565588,0.0003062364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015961,"about_ca_system_score_gemma":0.001383882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004234174,"about_ca_topic_score_gemma":0.006789479,"domain_scores_codex":[0.9972565,0.001829673,0.00006277727,0.0002557479,0.0002941609,0.0003012102],"domain_scores_gemma":[0.9854437,0.009610096,0.001903543,0.0004865273,0.0007339306,0.001822175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004217451,0.0002919334,0.3772447,0.0002687689,0.0001596389,0.001046399,0.01362167,0.007623441,0.0007642048,0.4026933,0.005399921,0.1904643],"study_design_scores_gemma":[0.00002560941,0.0004283394,0.2778437,0.0007713136,0.00009441076,0.0008488067,0.01185066,0.009346251,0.0009311683,0.6730255,0.02469401,0.0001401657],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8020979,0.02609346,0.01684975,0.06135907,0.0002857203,0.00004007764,0.0002359102,0.00005560108,0.09298247],"genre_scores_gemma":[0.9923104,0.003427667,0.001448567,0.0008865383,0.00009030297,0.0000189462,0.00002712758,0.00001314627,0.00177733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00551487,"threshold_uncertainty_score":0.0291658,"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."}}