{"id":"W4322096870","doi":"10.1007/978-3-031-03921-8_22","title":"Applying Group Dynamics to Enhance Sport Teams","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Group dynamic; Dynamics (music); Group (periodic table); Computer science; Human–computer interaction; Psychology; Physics; Social psychology; Pedagogy","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":[0.0002783848,0.0004007136,0.0001646718,0.0003824229,0.0006541234,0.001540129,0.0005782088,0.0005700274,0.01773814],"category_scores_gemma":[0.0003955016,0.0001115437,0.0002039899,0.0003653898,0.0005741497,0.001363142,0.001368673,0.001023781,0.003375318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005497505,"about_ca_system_score_gemma":0.0005838338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007918393,"about_ca_topic_score_gemma":0.003791816,"domain_scores_codex":[0.9998952,0.00003071479,0.000002009855,0.00001108976,0.00004779497,0.00001309467],"domain_scores_gemma":[0.9998934,0.0000568805,0.000005080826,0.000006920086,0.00001354691,0.00002399213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002912344,0.0003748726,0.000290735,0.0005726525,0.00001100955,0.0001409718,0.003576582,0.002471154,0.003851936,0.1994727,0.1320371,0.6571712],"study_design_scores_gemma":[0.00001846701,0.0001213428,0.001717258,0.0006173356,0.00001083027,0.0002622403,0.002045286,0.002664037,0.001086594,0.1100151,0.8814304,0.00001110044],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008088044,0.01155358,0.04875162,0.003540827,0.001455633,0.0001311566,0.00003462124,0.0002093115,0.9262351],"genre_scores_gemma":[0.08641353,0.02322231,0.05357647,0.001381458,0.0008166606,0.00028418,0.00009378346,0.0002184775,0.8339931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01773814,"threshold_uncertainty_score":0.05933994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467106144475567,"score_gpt":0.3007188784632123,"score_spread":0.2860478170184566,"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."}}