{"id":"W3147231036","doi":"10.21595/chs.2021.21858","title":"Flow dynamics during incremental velocity running","year":2021,"lang":"en","type":"article","venue":"Journal of Complexity in Health Sciences","topic":"Flow Experience in Various Fields","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitat de Lleida","keywords":"Flow (mathematics); Dynamics (music); Test (biology); Wilcoxon signed-rank test; Psychology; Mathematics; Simulation; Mechanics; Computer science; Statistics; Geology; Geometry; Physics; Mann–Whitney U test","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002289461,0.0001110759,0.000346077,0.0002383216,0.0003604073,0.00007418376,0.0004911813,0.00007158109,0.001128573],"category_scores_gemma":[0.0001658784,0.0001041159,0.00008028903,0.0007701401,0.0004394184,0.00028168,0.0001065199,0.0005509303,0.00001375385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000406512,"about_ca_system_score_gemma":0.0006562211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00112188,"about_ca_topic_score_gemma":0.00226138,"domain_scores_codex":[0.9974977,0.0002566381,0.0009362294,0.0002289361,0.0005800387,0.0005004198],"domain_scores_gemma":[0.9988735,0.000152344,0.0005115952,0.000167702,0.0001265599,0.0001683463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003303915,0.001287422,0.8184677,0.0003173122,0.00007533933,0.001437126,0.06967237,0.006303695,0.000564487,0.08024937,0.002169929,0.01912482],"study_design_scores_gemma":[0.001743467,0.0009402078,0.9059726,0.0004963168,0.000005257156,0.002628072,0.03460095,0.03999225,0.0004061362,0.01228404,0.0005678111,0.0003628813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986822,0.0006181179,0.0006417397,0.005350149,0.002213862,0.00007314531,0.000003728937,0.00001149323,0.004265761],"genre_scores_gemma":[0.9742659,0.00003321841,0.02465793,0.000805339,0.0001730884,0.000001688513,9.811647e-7,0.000005415554,0.00005640658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08750489,"threshold_uncertainty_score":0.9997845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.112109474868846,"score_gpt":0.4121748235591531,"score_spread":0.3000653486903071,"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."}}