{"id":"W2117700995","doi":"10.1177/1754337112444688","title":"Water skiing biomechanics: a study of advanced skiers","year":2012,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology","topic":"Sports Performance and Training","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"University of Guelph","keywords":"Rope; Coaching; Range (aeronautics); Alpine skiing; Simulation; Computer science; Mathematics; Environmental science; Marine engineering; Physical medicine and rehabilitation; Engineering; Structural engineering; Psychology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004485589,0.0004965797,0.000443089,0.0008038913,0.0007473056,0.0004075512,0.0002299303,0.0006007926,0.001563035],"category_scores_gemma":[0.0007738158,0.0004021928,0.0003584214,0.0004594417,0.0005162135,0.0004866716,0.0005647132,0.0003939898,0.0005537568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000264638,"about_ca_system_score_gemma":0.0002980022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006474145,"about_ca_topic_score_gemma":0.01269441,"domain_scores_codex":[0.9997239,0.0000426558,0.00001925283,0.00006057365,0.00005293379,0.00010066],"domain_scores_gemma":[0.9995193,0.00005838389,0.00008447578,0.00002171457,0.00009953072,0.0002166145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001488796,0.002042854,0.9558135,0.0001124361,0.00009412254,0.00135106,0.01037934,0.0002019742,0.01451916,0.00005206141,0.0002373964,0.01370744],"study_design_scores_gemma":[0.00003208465,0.003597039,0.9921043,0.00001115801,0.00001651203,0.0004229471,0.002878198,0.0002052956,0.0002112889,0.0000281607,0.0004841503,0.000008874536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997743,0.00001912737,0.00005577736,0.000006687722,0.000001160361,0.00001402639,0.00002090991,8.529594e-7,0.0001072564],"genre_scores_gemma":[0.9988824,0.00004896075,0.0002328103,0.00002923008,0.000008909249,0.00002840674,0.00009806088,0.000001685269,0.0006695413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006474145,"threshold_uncertainty_score":0.01287293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007662582470352629,"score_gpt":0.2186689265394227,"score_spread":0.2110063440690701,"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."}}