{"id":"W7131117072","doi":"10.1109/iccvw69036.2025.00736","title":"AgMIC: Agricultural Masked Image Consistency for Cross-Domain Segmentation","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Segmentation; Image segmentation; Pattern recognition (psychology); Context (archaeology); Consistency (knowledge bases); Thresholding; Domain (mathematical analysis); Field (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":[0.001058177,0.0008847948,0.0008724217,0.001220529,0.0003805999,0.001113458,0.001549583,0.0008660565,0.001676934],"category_scores_gemma":[0.002398408,0.0003332804,0.000809157,0.0009319321,0.0004919931,0.001156747,0.001266664,0.001008788,0.001025062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005032934,"about_ca_system_score_gemma":0.001045858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004610089,"about_ca_topic_score_gemma":0.008268493,"domain_scores_codex":[0.9994261,0.00008528803,0.00002689698,0.0002299053,0.0001559366,0.00007586768],"domain_scores_gemma":[0.9991931,0.0002040477,0.00009788058,0.00022614,0.0002196306,0.00005917685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006619196,0.0003118325,0.004987194,0.0002053906,0.0003551918,0.000200564,0.0001925747,0.131871,0.08069454,0.003922468,0.01228014,0.7643171],"study_design_scores_gemma":[0.00002446145,0.00009424422,0.002521019,0.00001371343,0.00004818971,0.000176657,0.00004634244,0.9673697,0.02247718,0.002202425,0.005000206,0.0000258496],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08902363,0.0008812554,0.8955624,0.0001982478,0.0001276639,0.000166533,0.0005405751,0.01059453,0.002905223],"genre_scores_gemma":[0.4734915,0.0003440386,0.5177935,0.000432731,0.00008799902,0.0001407698,0.002833396,0.001004313,0.003871824],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004610089,"threshold_uncertainty_score":0.009166539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614425566858831,"score_gpt":0.3210825643495453,"score_spread":0.304938308680957,"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."}}