{"id":"W6499758","doi":"10.1123/jab.25.1.1","title":"Shorter Oars Are More Effective","year":2009,"lang":"en","type":"article","venue":"Journal of Applied Biomechanics","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medical physics; Medicine; Computer science","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":[0.001367478,0.0005545632,0.0005532738,0.0006122797,0.0004394524,0.001049386,0.0004307242,0.000537438,0.01077633],"category_scores_gemma":[0.005114186,0.0002076044,0.0004564554,0.0004026055,0.0004524621,0.001097592,0.0007371352,0.0005101366,0.004359728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002288708,"about_ca_system_score_gemma":0.0003237512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006630285,"about_ca_topic_score_gemma":0.00145139,"domain_scores_codex":[0.9989586,0.0002484171,0.0001376723,0.0001573613,0.0003666986,0.0001313135],"domain_scores_gemma":[0.9965597,0.0008931785,0.001030419,0.0003327363,0.0007551021,0.0004288837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003289185,0.001483328,0.09705938,0.001977489,0.0002235118,0.0008625032,0.00160303,0.002559377,0.5165617,0.002514847,0.002519238,0.3693464],"study_design_scores_gemma":[0.0002963468,0.02213066,0.7539634,0.0007390521,0.0004774709,0.00339787,0.006519398,0.004470349,0.1199547,0.006197794,0.08161493,0.0002380516],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775822,0.002533658,0.01125899,0.000359028,0.000177707,0.0001035965,0.0002370173,0.0001563173,0.007591579],"genre_scores_gemma":[0.9622912,0.001727751,0.02396199,0.0003324214,0.00008962595,0.0001096613,0.0004350574,0.0001621929,0.01089019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01077633,"threshold_uncertainty_score":0.03605044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079384383590315,"score_gpt":0.2619128083630531,"score_spread":0.25111896452715,"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."}}