{"id":"W2943098204","doi":"","title":"Ethnic diversity and cohesion in interdependent sport teams","year":2018,"lang":"en","type":"article","venue":"Journal of Exercise, Movement, and Sport (SCAPPS refereed abstracts repository)","topic":"Motivation and Self-Concept in Sports","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Cohesion (chemistry); Ethnic group; Interdependence; Social psychology; Cultural diversity; Diversity (politics); Psychology; Group cohesiveness; Team sport; Task group; Basketball; Sociology; Athletes; Anthropology; Geography; Social science; Engineering; Medicine","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":[0.0008578872,0.0001747513,0.0002698023,0.0008307489,0.001058563,0.0009611777,0.0002605543,0.0002226901,0.001342053],"category_scores_gemma":[0.002970999,0.0001569234,0.0001850139,0.0005214832,0.0004575789,0.000431715,0.001208114,0.0003562895,0.0001919319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003401247,"about_ca_system_score_gemma":0.0001930224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005197713,"about_ca_topic_score_gemma":0.01057496,"domain_scores_codex":[0.9995474,0.0001638022,0.00003597482,0.00008335361,0.0001026259,0.00006682314],"domain_scores_gemma":[0.9978737,0.0003714093,0.0008713964,0.0001469146,0.0002065478,0.0005301387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007741337,0.00008978523,0.9911838,0.000009583833,0.00005677273,0.00004620818,0.003922069,0.00009343803,0.0004772354,0.0000928182,0.0001146661,0.003836291],"study_design_scores_gemma":[0.000001517039,0.00003569729,0.9979193,0.0000049152,0.000005499322,0.00002716719,0.001674942,0.00009996545,0.00005289234,0.00006273015,0.0001132466,0.000002141521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994324,0.00002330908,0.00003383259,0.00001196111,0.000002063264,0.000001703982,0.00001236692,4.984022e-7,0.0004817497],"genre_scores_gemma":[0.9997255,0.0000240541,0.00002731981,0.000004148131,0.000003336367,0.000003628731,0.00003794855,7.37545e-7,0.0001733119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005197713,"threshold_uncertainty_score":0.01033491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02209245307187195,"score_gpt":0.2788594257322299,"score_spread":0.256766972660358,"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."}}