{"id":"W4417473448","doi":"10.36939/ir.202512181252","title":"Dataset Optimization Using Image Processing","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Research Manitoba","keywords":"Pruning; Cluster analysis; Pattern recognition (psychology); Range (aeronautics); Generalization; Image (mathematics); Similarity (geometry)","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":[],"consensus_categories":[],"category_scores_codex":[0.0001806155,0.0001729274,0.0001532536,0.0002364989,0.0002071346,0.0005855071,0.0007521397,0.0001411886,0.00005349769],"category_scores_gemma":[0.00009662763,0.0001662214,0.00002834353,0.0004517004,0.000006470712,0.0008404278,0.00007910379,0.0002224572,0.00002082463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004282863,"about_ca_system_score_gemma":0.0003237522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001129483,"about_ca_topic_score_gemma":0.00003479971,"domain_scores_codex":[0.9988195,0.00005564828,0.0002499692,0.0005061664,0.0002185003,0.0001501933],"domain_scores_gemma":[0.9989408,0.00002471119,0.0002308488,0.0006330845,0.0001327035,0.00003787205],"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":[0.0000346906,0.0001955916,0.00007168006,0.001817495,0.0000534234,0.00001476351,0.0007744695,0.0511299,0.001421567,0.01840438,0.0546217,0.8714603],"study_design_scores_gemma":[0.00007382665,0.000005525429,0.00007902802,0.0001210057,0.0000202979,0.000001731577,0.00004744412,0.9905796,0.0001650975,0.00008764315,0.008634845,0.0001839578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00003535535,0.0001269825,0.9794084,0.0001431765,0.0003315296,0.0001242188,0.0001274958,0.0001773571,0.01952542],"genre_scores_gemma":[0.001619955,0.00004168402,0.8635747,0.0001868636,0.00007996245,0.00001460399,0.1230164,0.00001829971,0.0114476],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9394497,"threshold_uncertainty_score":0.6778311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389039680665396,"score_gpt":0.3295529037197485,"score_spread":0.3056625069130945,"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."}}