{"id":"W4410632526","doi":"10.22215/etd/2025-16363","title":"Cross Domain Model Adaptation and Generalization","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Generalization; Adaptation (eye); Domain adaptation; Computer science; Domain (mathematical analysis); Artificial intelligence; Mathematics; Psychology; Neuroscience; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002355576,0.0002197634,0.0001938607,0.0002670709,0.000242878,0.0005656027,0.0003552854,0.000230195,0.0000329418],"category_scores_gemma":[0.0000478612,0.0002254434,0.00005618692,0.0003393282,0.0000141606,0.000535525,0.00005387842,0.000178949,0.00001580414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004414397,"about_ca_system_score_gemma":0.0002317737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004074469,"about_ca_topic_score_gemma":0.0001960209,"domain_scores_codex":[0.9985857,0.0000618506,0.0003261952,0.0005254763,0.000305658,0.0001951337],"domain_scores_gemma":[0.9991926,0.00004457118,0.0001800227,0.0003034036,0.0002060899,0.00007333382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002362917,0.00002646901,0.00004668659,0.0001352139,0.00002911688,0.000003103838,0.006630502,0.1112055,0.0004213928,0.7759174,0.0007168762,0.1048441],"study_design_scores_gemma":[0.0002998638,0.00001364593,0.0006962956,0.00004720729,0.000008396995,0.000001200868,0.0003519283,0.9781268,0.0001497573,0.01729989,0.002754997,0.0002500088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007984104,0.0002512377,0.9195703,0.0001151978,0.0004657152,0.0001929115,0.000002431604,0.0002303769,0.0711877],"genre_scores_gemma":[0.1046998,0.0003005123,0.5064832,0.001006383,0.00008842003,0.00008654563,0.001218844,0.00003979319,0.3860766],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8669214,"threshold_uncertainty_score":0.9193314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02814032842634456,"score_gpt":0.2906611719275853,"score_spread":0.2625208435012407,"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."}}