{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007526482,0.0006280997,0.0005783312,0.0005886239,0.0003420286,0.0005303015,0.001243531,0.0007073602,0.004624544],"category_scores_gemma":[0.001130294,0.000371961,0.0003445471,0.0002484685,0.0002062381,0.0007589112,0.0007064211,0.0004668565,0.001386084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003008776,"about_ca_system_score_gemma":0.0006664632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001667024,"about_ca_topic_score_gemma":0.002119974,"domain_scores_codex":[0.9994562,0.00007622075,0.00003573022,0.0001511984,0.0002353153,0.00004534133],"domain_scores_gemma":[0.9993157,0.0001543719,0.00003473831,0.00007138109,0.0003552371,0.00006849965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004890607,0.000276948,0.01170426,0.0004902664,0.00007234203,0.0006118053,0.0006450038,0.002414143,0.6816729,0.002128471,0.007702752,0.2917921],"study_design_scores_gemma":[0.0002465236,0.005663836,0.04440117,0.0002213139,0.0002976533,0.003187163,0.0007517222,0.1739798,0.6606768,0.001394159,0.1089048,0.0002750083],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1469277,0.0004609611,0.829863,0.0005676047,0.0005019574,0.002014159,0.00089085,0.01081501,0.00795873],"genre_scores_gemma":[0.4218768,0.0003627594,0.560311,0.0005400369,0.00008163833,0.001430303,0.0006120692,0.0002181909,0.01456729],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004624544,"threshold_uncertainty_score":0.01547062,"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."}}