{"id":"W3202633017","doi":"","title":"Technological Change and Obsolete Skills: Evidence from Men’s Professional Tennis","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Technological change; Productivity; Context (archaeology); Business; Marketing; Labour economics; Economics; Economic growth; History","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":[0.002182647,0.0002913845,0.0004191412,0.0009678229,0.0007419095,0.001466927,0.0006096355,0.0007764861,0.006115392],"category_scores_gemma":[0.01107193,0.0001778769,0.0003712201,0.001273892,0.00177853,0.001015752,0.00126305,0.0009629251,0.0007616252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000481793,"about_ca_system_score_gemma":0.0004409996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01242662,"about_ca_topic_score_gemma":0.01447583,"domain_scores_codex":[0.9989402,0.0003177117,0.00005826209,0.0002449057,0.0002409672,0.0001979145],"domain_scores_gemma":[0.9805729,0.009807064,0.006499636,0.0009446399,0.000866031,0.001309652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00200438,0.001310483,0.8986294,0.0004764582,0.000660765,0.0009441389,0.006902976,0.001847246,0.001411387,0.007522366,0.003493839,0.07479642],"study_design_scores_gemma":[0.00006273508,0.0006228372,0.9847813,0.00009474196,0.0001461631,0.0001887278,0.003022046,0.0005713868,0.0006425751,0.002967234,0.006875749,0.00002451779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912897,0.001731983,0.0003018982,0.0004774688,0.00001416873,0.0000108851,0.0002556295,0.000003935926,0.005914174],"genre_scores_gemma":[0.9965761,0.000995193,0.0001157697,0.0001178148,0.00004767163,0.000006520337,0.000251011,0.000003543518,0.001886413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01242662,"threshold_uncertainty_score":0.02470857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1085648055015433,"score_gpt":0.3194519088591211,"score_spread":0.2108871033575778,"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."}}