{"id":"W7006626904","doi":"","title":"Variational Autoencoders for Heterogeneous Data Integration: Applications in Remote Sensing, Fusion, and Anomaly Detection","year":2025,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University","keywords":"Filter (signal processing); Frame (networking); Key (lock); Identification (biology); Tubulopathy","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":[0.001731078,0.00110751,0.0008342579,0.0006933765,0.0003984749,0.001226314,0.0009976289,0.001118764,0.001673602],"category_scores_gemma":[0.00465317,0.0006127701,0.001206183,0.001018305,0.001269952,0.001568514,0.002041467,0.002744396,0.0004117753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008701552,"about_ca_system_score_gemma":0.0006845698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004056017,"about_ca_topic_score_gemma":0.004132154,"domain_scores_codex":[0.9994677,0.0002166566,0.00003178669,0.0001130501,0.0001363219,0.00003447423],"domain_scores_gemma":[0.9980362,0.001543627,0.00009224867,0.0001049294,0.0001813119,0.0000417225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005147781,0.00006664284,0.001035521,0.0002671111,0.0001822016,0.0001285559,0.0002331769,0.7113993,0.006861683,0.1361228,0.002663042,0.1409885],"study_design_scores_gemma":[0.000002446694,0.00001325737,0.0001179014,0.00001782795,0.000007883908,0.00001938043,0.00001154464,0.9730322,0.0006643527,0.0244881,0.001616145,0.000008917398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003372337,0.001852161,0.9926348,0.0004313893,0.00005994154,0.00001849747,0.0000402585,0.0001037125,0.001486846],"genre_scores_gemma":[0.3584902,0.01107055,0.6213619,0.0005217107,0.0005456222,0.0002522526,0.0004323756,0.0002465626,0.007078871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004056017,"threshold_uncertainty_score":0.009154975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813230978668653,"score_gpt":0.2220183914630114,"score_spread":0.2038860816763249,"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."}}