{"id":"W7160864013","doi":"10.1109/spicscon69221.2025.11503913","title":"Lightweight Vision Transformer with Cross-Scale Attention Fusion for Field-Deployable Maize Disease Diagnosis","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wycliffe College","funders":"","keywords":"Sensor fusion; Fusion; Transformer; Machine vision; Disease","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":[0.0005958959,0.0009074692,0.0005574134,0.000723878,0.0002100402,0.0005428994,0.0009132666,0.0005572779,0.001477087],"category_scores_gemma":[0.0009593049,0.0002366075,0.0007044576,0.0003735222,0.0002458969,0.000769444,0.0009773425,0.0007797416,0.0006164984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005944737,"about_ca_system_score_gemma":0.0005557121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007363034,"about_ca_topic_score_gemma":0.008090538,"domain_scores_codex":[0.9997887,0.00003304791,0.000007811138,0.000081321,0.00004600077,0.00004309331],"domain_scores_gemma":[0.9997837,0.00007753702,0.00002129795,0.00003336216,0.0000650226,0.00001905963],"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":[0.000640176,0.0004156092,0.007690914,0.0001744087,0.0001972269,0.0002452176,0.0001313286,0.2139573,0.08950207,0.002135433,0.008555819,0.6763546],"study_design_scores_gemma":[0.00001084516,0.00009516782,0.001731394,0.000006195656,0.00003382434,0.00007249866,0.00002239071,0.9831856,0.01248917,0.001185262,0.001157283,0.00001035349],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1908863,0.001337543,0.7921867,0.000457884,0.0001806382,0.0001703469,0.0006865297,0.01014345,0.003950466],"genre_scores_gemma":[0.8671957,0.0003228987,0.1276715,0.0003184539,0.00005874558,0.00008832425,0.001125842,0.0001363697,0.003082177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007363034,"threshold_uncertainty_score":0.01464033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006525528794776797,"score_gpt":0.2479051887653172,"score_spread":0.2413796599705404,"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."}}