{"id":"W2885291047","doi":"10.1123/wspaj.2017-0034","title":"Relative Age Effects in Women’s Ice Hockey: Contributions of Body Size and Maturity Status","year":2018,"lang":"en","type":"article","venue":"Women in Sport and Physical Activity Journal","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Anna Cederbergs Stiftelse för Medicinsk Forskning; Kempe Foundation","keywords":"Quartile; Demography; Ice hockey; Maturity (psychological); Population; Confidence interval; Odds; Psychology; Statistics; Logistic regression; Medicine; Mathematics; Developmental psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001811589,0.0003427467,0.0003399683,0.001140118,0.0003845097,0.0005005324,0.0003545112,0.0003153293,0.002243068],"category_scores_gemma":[0.005824561,0.0002519147,0.0004606869,0.0006423928,0.0005831009,0.0004239153,0.0006097381,0.0002969913,0.0001623825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003424994,"about_ca_system_score_gemma":0.0004378045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01873384,"about_ca_topic_score_gemma":0.03233002,"domain_scores_codex":[0.9990343,0.0002648175,0.00007880537,0.0002764334,0.0002119613,0.0001336744],"domain_scores_gemma":[0.9969797,0.001220645,0.001073676,0.0001858593,0.000275131,0.0002649482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003929609,0.00003089891,0.9935586,0.00004177111,0.0001416746,0.0001146786,0.0004446815,0.00006449123,0.0005892867,0.00009823128,0.00005272046,0.004470111],"study_design_scores_gemma":[0.000001755079,0.00006436325,0.9994023,0.000008772879,0.00001887178,0.00005994826,0.0002535767,0.00003522509,0.00004444647,0.0000246114,0.0000842355,0.000001986709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982147,0.00080827,0.000166032,0.00003611799,0.00001240079,0.000005659478,0.00009220553,0.000001715941,0.00066293],"genre_scores_gemma":[0.9993479,0.000144704,0.0001144341,0.00001373514,0.000006749937,0.000004087849,0.00008170825,0.00000197251,0.0002847653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01873384,"threshold_uncertainty_score":0.03724957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008063079352211533,"score_gpt":0.2353068491717656,"score_spread":0.2272437698195541,"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."}}