{"id":"W2946984510","doi":"","title":"Design of A Monitoring System to Track Dragon Boat Performance","year":2017,"lang":"en","type":"article","venue":"Student Research Proceedings","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Paddle; Unison; Track (disk drive); Aeronautics; Watercraft; Engineering; Computer science; Marine engineering; Mechanical engineering; Acoustics","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":[0.0006733243,0.0008038132,0.0007317896,0.0009973933,0.0007879842,0.0008751132,0.001820218,0.0009690016,0.003627923],"category_scores_gemma":[0.0008374945,0.0005305063,0.0002706481,0.0003672503,0.000269324,0.0008336456,0.0007889817,0.0005194566,0.00182235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006033038,"about_ca_system_score_gemma":0.0009188417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002806589,"about_ca_topic_score_gemma":0.002469293,"domain_scores_codex":[0.9994228,0.00004727813,0.00003854845,0.0002435998,0.0001854875,0.00006224154],"domain_scores_gemma":[0.9994241,0.00008318562,0.00005309748,0.00004259278,0.0003322652,0.00006474488],"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":[0.001121933,0.0006854719,0.02483586,0.0005790226,0.0002031127,0.0008100519,0.0008432799,0.01328382,0.5968539,0.003675689,0.01753484,0.339573],"study_design_scores_gemma":[0.0004142172,0.004096242,0.04739515,0.0002002823,0.0004472819,0.001343726,0.0005484363,0.4679732,0.3989024,0.002267743,0.07615138,0.0002600107],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1078583,0.0002405691,0.8645753,0.0005515718,0.0003583021,0.001761388,0.0008431848,0.01510649,0.008704928],"genre_scores_gemma":[0.6508699,0.0001923455,0.3311237,0.0005361923,0.0001110477,0.001873839,0.0008252767,0.0001970368,0.01427073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003627923,"threshold_uncertainty_score":0.01213664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.220024281440009,"score_gpt":0.425075832293333,"score_spread":0.205051550853324,"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."}}