{"id":"W4385327769","doi":"10.48550/arxiv.2307.13842","title":"CosSIF: Cosine similarity-based image filtering to overcome low inter-class variation in synthetic medical image datasets","year":2023,"lang":"en","type":"preprint","venue":"PubMed","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Discriminative model; Computer science; Artificial intelligence; Pattern recognition (psychology); Leverage (statistics); Similarity (geometry); Image (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001986228,0.0009358507,0.000652609,0.000777136,0.0002772985,0.0007733274,0.001403339,0.0008622594,0.003227531],"category_scores_gemma":[0.00487505,0.000334696,0.0009193977,0.0005486152,0.0006964666,0.0007926093,0.001176268,0.001597187,0.001239798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007935329,"about_ca_system_score_gemma":0.0008051789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002712519,"about_ca_topic_score_gemma":0.00368987,"domain_scores_codex":[0.9992926,0.0001836797,0.00004059336,0.0001853062,0.0002342892,0.00006346149],"domain_scores_gemma":[0.9988003,0.0005462758,0.0001382632,0.0002870465,0.0001623363,0.00006592505],"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":[0.0004416991,0.0002303507,0.0043057,0.0003300504,0.0002386192,0.0003202153,0.0001437197,0.4734668,0.03873869,0.01989359,0.03036647,0.4315241],"study_design_scores_gemma":[0.00002314069,0.00007702949,0.0005369288,0.00001993265,0.00001403153,0.0001784301,0.00001016763,0.9754108,0.014202,0.005408354,0.004102496,0.00001665662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01962548,0.0004871958,0.9721823,0.0003658376,0.0001615515,0.0001600945,0.0005999702,0.004056811,0.002360744],"genre_scores_gemma":[0.4620185,0.0006556824,0.5226587,0.0009560323,0.0001616307,0.0004429665,0.005233494,0.001172778,0.006700192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003227531,"threshold_uncertainty_score":0.01079714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0287325068109824,"score_gpt":0.2577950144660995,"score_spread":0.2290625076551171,"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."}}