{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001025529,0.0003050382,0.0002713975,0.0004366576,0.0001659183,0.00009991499,0.0002928031,0.0003577551,0.000270281],"category_scores_gemma":[0.00004332455,0.0003895212,0.0000572752,0.0005758036,0.00002730365,0.0002761318,0.0000583534,0.0002717794,0.000005311208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003355317,"about_ca_system_score_gemma":0.00009991338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001662457,"about_ca_topic_score_gemma":0.010109,"domain_scores_codex":[0.9986876,0.00005008877,0.000300587,0.0006032196,0.0001451285,0.0002133557],"domain_scores_gemma":[0.998996,0.0001167239,0.0001310718,0.000532419,0.0001635071,0.00006025038],"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":[0.0000744102,0.00001283385,0.00001105978,0.0003021942,0.00007484917,0.000007058247,0.0002837724,0.006135453,0.002859182,0.000113164,0.0002684985,0.9898575],"study_design_scores_gemma":[0.0005091318,0.00001955486,0.0007207063,0.0001911248,0.00015305,0.000006925241,0.000826324,0.8916565,0.001267469,0.0002834174,0.1040002,0.0003655405],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0022799,0.0001805711,0.933162,0.00004962421,0.0005193683,0.001067581,0.0001428777,0.0002834144,0.06231461],"genre_scores_gemma":[0.1797743,0.0008035275,0.2658437,0.0001107542,0.0006259925,0.000007823687,0.02715289,0.0003977646,0.5252832],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.989492,"threshold_uncertainty_score":0.9998557,"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."}}