{"id":"W4416251989","doi":"10.1109/ijcnn64981.2025.11227847","title":"Masked strategies for images with small objects","year":2025,"lang":"","type":"article","venue":"","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"NSCAD University; Dalhousie University","funders":"","keywords":"Segmentation; Pattern recognition (psychology); Encoder; Residual; Transformer; Image segmentation; Context (archaeology); Context model","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001400422,0.0004451223,0.0003809407,0.0002722101,0.0002390446,0.005032669,0.001412582,0.00006351632,0.00002528284],"category_scores_gemma":[0.00008317209,0.0003690101,0.0001945566,0.0008908958,0.0003704346,0.002533649,0.0004842056,0.0001058292,0.00004220106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004587249,"about_ca_system_score_gemma":0.002006781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008662046,"about_ca_topic_score_gemma":0.00008821458,"domain_scores_codex":[0.9975636,0.00003394739,0.0003745914,0.0009778742,0.0002614913,0.0007885112],"domain_scores_gemma":[0.9979765,0.0002691224,0.0001169794,0.001000741,0.0004272698,0.0002093873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000246294,0.001176088,0.0009003259,0.00112862,0.0004813413,0.00007811375,0.0005736867,0.0007022893,0.0004496218,0.8113921,0.02242596,0.1604456],"study_design_scores_gemma":[0.01598254,0.004742837,0.0109551,0.003539707,0.00161159,0.0000879244,0.01145421,0.127974,0.09933081,0.6738693,0.04508555,0.005366419],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003697623,0.001031453,0.6915873,0.001946033,0.0005384665,0.0008612108,0.00004499898,0.0004240589,0.2998688],"genre_scores_gemma":[0.8289221,0.00001340695,0.1305621,0.001627059,0.00004998857,0.000114741,0.000008091424,0.00002572258,0.03867687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8252245,"threshold_uncertainty_score":0.9998762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661160660749654,"score_gpt":0.2517810296238237,"score_spread":0.2351694230163272,"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."}}