{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003489672,0.001460188,0.001446548,0.002850374,0.0008822175,0.002947656,0.002032145,0.001247119,0.004045425],"category_scores_gemma":[0.01288158,0.0005922748,0.002686398,0.003294,0.0006038711,0.002754121,0.002799717,0.001885639,0.002376641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259715,"about_ca_system_score_gemma":0.002299751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003889476,"about_ca_topic_score_gemma":0.005412103,"domain_scores_codex":[0.9972892,0.0006349074,0.0002945107,0.0007316233,0.0008557989,0.0001940923],"domain_scores_gemma":[0.9957356,0.001113474,0.0003342835,0.001629618,0.001077859,0.0001091817],"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":[0.0004847171,0.0004008057,0.006972984,0.0007346314,0.0003740954,0.0002205827,0.0001659886,0.2002325,0.02552794,0.01639026,0.03510371,0.7133918],"study_design_scores_gemma":[0.000107514,0.0003381302,0.005636234,0.0001075402,0.0001283956,0.0002924335,0.0002480126,0.8947933,0.02712125,0.02733564,0.04382347,0.00006805423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0506684,0.0009366006,0.9250205,0.0009485596,0.0003067215,0.0009252643,0.006499898,0.00706664,0.00762735],"genre_scores_gemma":[0.145999,0.0005859522,0.8246976,0.0003212551,0.0001073895,0.001549691,0.02265503,0.0007232185,0.003361026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004045425,"threshold_uncertainty_score":0.01845539,"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."}}