{"id":"W7019846578","doi":"","title":"The impact of demographic variables on recruitment and retention: Insights from Canadian basketball referees","year":2023,"lang":"en","type":"article","venue":"","topic":"Sport Psychology and Performance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Basketball; Competence (human resources); Affect (linguistics); Sample (material); Team sport","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003952812,0.0002695773,0.0004759362,0.002016592,0.005307737,0.002271392,0.00129167,0.0006024509,0.002707079],"category_scores_gemma":[0.01174225,0.0002738042,0.0004974363,0.003283579,0.001140992,0.0007361121,0.001665828,0.0009810957,0.0003165069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01336918,"about_ca_system_score_gemma":0.02474475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9120085,"about_ca_topic_score_gemma":0.9563746,"domain_scores_codex":[0.9964412,0.0006189017,0.0002011204,0.0002863059,0.001327956,0.001124612],"domain_scores_gemma":[0.9935114,0.001155327,0.001183677,0.0001273042,0.002531593,0.001490816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007539144,0.0001780158,0.9110038,0.0001147499,0.00002924656,0.0003248034,0.06471687,0.00004307144,0.0003255033,0.0002037542,0.002096826,0.02088784],"study_design_scores_gemma":[0.000003667546,0.00006539676,0.9210935,0.00009262854,0.00001362414,0.00008766147,0.0766322,0.0001247231,0.00004051584,0.0000512478,0.001773215,0.00002158766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964135,0.0002797128,0.00009432062,0.0007345554,0.00001357096,0.00009909303,0.000404335,0.000002810662,0.001958176],"genre_scores_gemma":[0.9975533,0.0004619365,0.0002288312,0.0003264718,0.00001627734,0.00009569672,0.0003611546,0.000004024147,0.0009524216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08799148,"threshold_uncertainty_score":0.1770193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08263907971626702,"score_gpt":0.3514784019199749,"score_spread":0.2688393222037079,"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."}}