{"id":"W4307329514","doi":"10.1177/01937235221134610","title":"Exploring Stakeholders’ Interpretations of Safe Sport","year":2022,"lang":"en","type":"article","venue":"Journal of Sport and Social Issues","topic":"Sports injuries and prevention","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Safeguarding; Athletes; Sport psychology; Psychology; Grounded theory; Context (archaeology); Public relations; Sport management; Conceptual framework; Applied psychology; Engineering ethics; Social psychology; Qualitative research; Sociology; Political science; Engineering; Medicine; Social science","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":[0.0003626001,0.00005421321,0.0002986193,0.0001078031,0.0001227878,0.000005816716,0.00003924788,0.00001785117,0.000498336],"category_scores_gemma":[0.000002540571,0.00004952276,0.000132147,0.00008438898,0.00004247013,0.0001468446,0.00002439798,0.0001723894,2.525726e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002766103,"about_ca_system_score_gemma":0.00005265875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006609668,"about_ca_topic_score_gemma":0.00000323535,"domain_scores_codex":[0.9991973,0.000002282874,0.0003986183,0.00005233588,0.0002765678,0.00007286536],"domain_scores_gemma":[0.9994861,0.000002726606,0.0003332939,0.00004172231,0.00009793659,0.00003823415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001120845,0.0003951874,0.9018323,0.0001739299,0.0003594443,0.0003650496,0.05998008,0.00001412023,0.0005495386,0.00642043,0.002660002,0.02612907],"study_design_scores_gemma":[0.0008817956,0.0007563367,0.6912154,0.00009787399,0.0003096765,0.0001522739,0.0565559,0.000004850037,0.0005407116,0.0006433968,0.2487343,0.0001074712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969757,0.0007359028,0.000007425428,0.0008243393,0.0003338734,0.000059314,0.000002564541,0.0000044708,0.001056447],"genre_scores_gemma":[0.9981283,0.0003639731,0.000273315,0.00006541419,0.0003019666,0.000002504085,0.000009287629,0.00000755957,0.0008476969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2460743,"threshold_uncertainty_score":0.545643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1369815800583671,"score_gpt":0.3339329877263955,"score_spread":0.1969514076680284,"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."}}