{"id":"W2945394642","doi":"","title":"Development of a Paddle Sensing System for Studying Paddle Dynamics for Dragon Boating","year":2018,"lang":"en","type":"article","venue":"Student Research Proceedings","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Paddle; Phone; Mobile phone; Computer science; Engineering; Simulation; Telecommunications; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002520566,0.0001937319,0.0003003514,0.0003121218,0.0005393777,0.0001379027,0.0003077133,0.0001054153,0.000001914133],"category_scores_gemma":[0.00008782464,0.0001851117,0.00007664649,0.0004705509,0.00007013458,0.000114249,0.0002041485,0.0001712286,0.000002716123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006897172,"about_ca_system_score_gemma":0.00007944081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008102941,"about_ca_topic_score_gemma":0.00007556959,"domain_scores_codex":[0.9976916,0.000005101053,0.000527743,0.0003412893,0.0006905957,0.000743653],"domain_scores_gemma":[0.9981989,0.00009741672,0.00009390039,0.0001162344,0.001388904,0.0001045928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005726672,0.0005629581,0.006200953,0.01892003,0.001310293,0.000008306732,0.0941447,0.0001536765,0.6553805,0.0542066,0.001739832,0.1667994],"study_design_scores_gemma":[0.001525689,0.0005892326,0.0007477448,0.001201528,0.00004223877,0.000008584251,0.0740195,0.842761,0.07435896,0.0004771472,0.003674647,0.0005937454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513958,0.00003432935,0.04529983,0.00001741998,0.0003150628,0.001888352,0.00002110635,0.0001882488,0.0008399172],"genre_scores_gemma":[0.957971,0.000004277487,0.04139338,0.000002405769,0.000256502,0.0001986824,0.00001761513,0.00007003813,0.00008615427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8426073,"threshold_uncertainty_score":0.7548637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0961894738832832,"score_gpt":0.3672182449144203,"score_spread":0.2710287710311371,"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."}}