{"id":"W2967580400","doi":"10.1145/3342280.3342345","title":"SwimTrack","year":2019,"lang":"en","type":"article","venue":"","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Radio-frequency identification; Computer science; Key (lock); Identification (biology); Computer security; Aeronautics; Engineering; Forensic 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":[0.0002839819,0.0006687406,0.0004401827,0.0008851156,0.0003479341,0.0005825146,0.0005921603,0.0005559964,0.01923329],"category_scores_gemma":[0.000932095,0.0002100284,0.0003845688,0.0004256011,0.000178986,0.0006185162,0.001438485,0.0002762079,0.00982331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001709469,"about_ca_system_score_gemma":0.0003626713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002497836,"about_ca_topic_score_gemma":0.005222407,"domain_scores_codex":[0.9997314,0.00002094268,0.00001641624,0.0000736861,0.0001302102,0.00002730297],"domain_scores_gemma":[0.9996421,0.00005040388,0.00005730724,0.00004439388,0.0001482316,0.00005749292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001191149,0.0002085071,0.03214278,0.00102386,0.000115533,0.0004218337,0.0002783356,0.0009531719,0.07509357,0.001364667,0.08644025,0.8007663],"study_design_scores_gemma":[0.000290456,0.004741316,0.1959686,0.0008738268,0.0004480086,0.004387686,0.0006249243,0.03114787,0.09618214,0.001796769,0.663284,0.0002544245],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5251846,0.01119976,0.2234792,0.00159483,0.002108357,0.001373929,0.03549017,0.05882211,0.1407471],"genre_scores_gemma":[0.6682561,0.005576139,0.1026675,0.00215679,0.0004217885,0.0008379118,0.05539091,0.001937666,0.1627553],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01923329,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00223714825419961,"score_gpt":0.1464071738388009,"score_spread":0.1441700255846013,"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."}}