{"id":"W1988745865","doi":"10.1007/s12283-013-0141-z","title":"A model of ice friction for a speed skate blade","year":2013,"lang":"en","type":"article","venue":"Sports Engineering","topic":"Winter Sports Injuries and Performance","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Royal University; National Research Council Canada; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mechanics; Slider; Materials science; Groove (engineering); Geology; Flow (mathematics); Dynamical friction; Geotechnical engineering; Engineering; Mechanical engineering; Composite material; Physics; Metallurgy","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":[0.0003771128,0.0009467906,0.001444979,0.0008408349,0.001202382,0.001469562,0.001871734,0.005570826,0.008085821],"category_scores_gemma":[0.001348642,0.0009127198,0.001336038,0.0006942641,0.001390786,0.001281293,0.0009859467,0.001168901,0.001398801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099648,"about_ca_system_score_gemma":0.00159734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0525775,"about_ca_topic_score_gemma":0.01720367,"domain_scores_codex":[0.9997789,0.00004910537,0.00001573154,0.00005097544,0.00004250733,0.00006267946],"domain_scores_gemma":[0.9996713,0.0001018102,0.00004370769,0.00002599767,0.00009530363,0.00006177514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003982986,0.00003087921,0.0004537942,0.00004328846,0.00001594878,0.0002218525,0.0000641094,0.9881718,0.001019261,0.008154722,0.0006574849,0.001126998],"study_design_scores_gemma":[0.00002286695,0.000017055,0.0002485864,0.00001067702,0.000009633703,0.00003387909,0.00002858701,0.9975279,0.00008481966,0.001283268,0.0007208653,0.00001189069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3510365,0.002511796,0.4924335,0.003352706,0.001238531,0.000318954,0.002167787,0.0007658997,0.1461742],"genre_scores_gemma":[0.9473549,0.0006221425,0.005714335,0.0002107786,0.0000902699,0.0001260076,0.0003216911,0.000114261,0.04544561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0525775,"threshold_uncertainty_score":0.1045429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189072111761811,"score_gpt":0.2218110012146166,"score_spread":0.2099202800969985,"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."}}