{"id":"W4387711875","doi":"10.29173/mm15","title":"Action Research and Coach Learning in Endurance Running","year":2023,"lang":"en","type":"article","venue":"Movement Matters","topic":"Sport Psychology and Performance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Coaching; Action (physics); Action research; Track and field athletics; Process (computing); Competition (biology); Psychology; Action learning; Applied psychology; Athletes; Process management; Computer science; Engineering; Mathematics education; Teaching method; Cooperative learning; Physical therapy; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009825337,0.00006737247,0.00008351386,0.0003027212,0.0001294361,0.00001548356,0.00007868424,0.00006665718,0.000737065],"category_scores_gemma":[0.000004788167,0.0000713244,0.00001069379,0.0004357093,0.00007564369,0.00007402127,0.00003682125,0.0004091945,0.0009105098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002730837,"about_ca_system_score_gemma":0.000004370021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001623649,"about_ca_topic_score_gemma":0.00003582292,"domain_scores_codex":[0.9990533,0.0000626043,0.0001385083,0.0002587406,0.0001320425,0.0003548031],"domain_scores_gemma":[0.999724,0.00006271771,0.00003084421,0.0001390999,0.00001262854,0.00003076618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001039976,0.00004350256,0.9445542,0.00002164514,0.00001640749,0.00005251245,0.003561592,0.0001004348,0.003759784,0.0006056415,0.03843142,0.008748895],"study_design_scores_gemma":[0.0004955988,0.00006228341,0.9694059,0.00002572997,9.762924e-7,0.000002639221,0.002517106,0.0001151564,0.0001472884,0.0002604491,0.02689396,0.00007295226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867534,0.00005913228,0.00001609746,0.004343119,0.0005100618,0.0001265588,6.232676e-7,0.00008621399,0.008104817],"genre_scores_gemma":[0.9849272,0.00005939733,0.00001429862,0.002208627,0.00005571102,0.00007907097,0.00001228226,0.00001249846,0.01263085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02485169,"threshold_uncertainty_score":0.9998674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1627480805217373,"score_gpt":0.448636434820552,"score_spread":0.2858883542988148,"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."}}