{"id":"W2934513655","doi":"","title":"Fast or slow? Investigating player approach speed in National Hockey League shootouts and its effect on performance","year":2017,"lang":"en","type":"article","venue":"","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"League; Psychology; Odds; Applied psychology; Logistic regression; Social psychology; Computer science; Machine learning","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":[0.001588614,0.0005076596,0.0003091882,0.0009217265,0.0003581002,0.001201529,0.0004087383,0.0004851588,0.002330488],"category_scores_gemma":[0.007359054,0.0002270921,0.0005006132,0.0005459334,0.000586136,0.000567726,0.0006939744,0.000620616,0.0004259706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004022904,"about_ca_system_score_gemma":0.0003131381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009850819,"about_ca_topic_score_gemma":0.01731936,"domain_scores_codex":[0.999097,0.000215228,0.00008138603,0.0002769164,0.0001883918,0.0001410641],"domain_scores_gemma":[0.9927279,0.002835033,0.002774199,0.0002697147,0.0004324998,0.0009606814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000332617,0.0001302455,0.9947214,0.00001677203,0.00009529263,0.00004949288,0.0004819226,0.0001463236,0.0007513074,0.00003850123,0.00005902016,0.003177182],"study_design_scores_gemma":[0.000003694143,0.0002771904,0.9985614,0.00001042793,0.00002021226,0.00003478688,0.0004904653,0.0003318556,0.0001560946,0.00003198111,0.00007697204,0.000004926795],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993955,0.00003366771,0.0001266866,0.00001339531,0.000003439121,0.000006076418,0.00005073332,0.000002423495,0.0003681429],"genre_scores_gemma":[0.9991749,0.00004070459,0.0002176803,0.000009886247,0.000005970844,0.00001325439,0.0001422741,0.000003407604,0.0003918745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009850819,"threshold_uncertainty_score":0.01958698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07124247842129759,"score_gpt":0.3198423402480937,"score_spread":0.2485998618267961,"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."}}