{"id":"W4413155822","doi":"10.1109/cvpr52734.2025.01306","title":"Mixture of Submodules for Domain Adaptive Person Search","year":2025,"lang":"en","type":"article","venue":"","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Research Foundation","keywords":"Computer science; Domain (mathematical analysis); Algorithm; Mathematics","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":[0.001114618,0.0008888642,0.001095014,0.0005936963,0.000393868,0.0005781716,0.001702641,0.001030655,0.002928557],"category_scores_gemma":[0.002718138,0.0004635973,0.001019902,0.0005971116,0.0008385941,0.001527097,0.001994928,0.001380153,0.0008452168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005326124,"about_ca_system_score_gemma":0.0006857903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002202837,"about_ca_topic_score_gemma":0.002464166,"domain_scores_codex":[0.9994128,0.0001732407,0.00002252395,0.0002178933,0.0001079262,0.00006559285],"domain_scores_gemma":[0.999255,0.0003539373,0.0000583458,0.0001532557,0.0001159993,0.00006345038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003918127,0.0002010361,0.002534221,0.0001187964,0.0001457827,0.0001728867,0.0002260868,0.6771051,0.0186743,0.02642107,0.002476812,0.2715321],"study_design_scores_gemma":[0.000008098949,0.00005772016,0.0002040169,0.000004326481,0.00001252896,0.00003811135,0.00001412696,0.9903347,0.002222377,0.006331954,0.000763436,0.000008646715],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01252497,0.0001338995,0.986179,0.00006235472,0.00002134544,0.00002968652,0.0000310621,0.0003829662,0.0006347802],"genre_scores_gemma":[0.6241683,0.0002486956,0.3682676,0.0003341902,0.0000695548,0.0002910227,0.000328229,0.0002091111,0.006083256],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002928557,"threshold_uncertainty_score":0.009796977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03331620058057755,"score_gpt":0.3377603325987447,"score_spread":0.3044441320181672,"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."}}