{"id":"W6995684506","doi":"","title":"Part-aware vehicle re-identification using harder negative aware triplet loss and attention embedded learnable resizer","year":2023,"lang":"en","type":"dissertation","venue":"oURspace (University of Regina)","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Faculty of Graduate Studies and Research, University of Alberta; Mitacs","keywords":"Degree (music); Control system; Identification (biology); Control (management)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006929438,0.001229963,0.001477507,0.0008434055,0.0004682448,0.0008157581,0.001325553,0.001131737,0.005709655],"category_scores_gemma":[0.001419367,0.0003528461,0.0008512772,0.0006192225,0.0003819204,0.001711436,0.001528037,0.001243557,0.004021968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004251776,"about_ca_system_score_gemma":0.0007188459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004422892,"about_ca_topic_score_gemma":0.007190972,"domain_scores_codex":[0.9995358,0.00005965119,0.0000175365,0.0001800106,0.00009842288,0.0001085922],"domain_scores_gemma":[0.9995123,0.00009352084,0.00003522128,0.0001460739,0.0001777321,0.00003506062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007608938,0.0002820212,0.001358,0.0001040224,0.0001302314,0.0002538624,0.00009468022,0.110024,0.05313987,0.002880646,0.01504774,0.8159239],"study_design_scores_gemma":[0.0000187575,0.0001497715,0.001450126,0.0000172349,0.00005917906,0.0001537559,0.00005535235,0.9750404,0.01757353,0.002581087,0.002881658,0.00001911783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1153537,0.001538012,0.8608422,0.0005864688,0.001117604,0.0001681858,0.0007690754,0.006780633,0.01284425],"genre_scores_gemma":[0.7672126,0.0006069494,0.1886389,0.0004923741,0.0003717053,0.000120528,0.003315099,0.0008174193,0.03842455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005709655,"threshold_uncertainty_score":0.01910067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02600705030119064,"score_gpt":0.2635148979337383,"score_spread":0.2375078476325476,"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."}}