{"id":"W4412524342","doi":"10.21203/rs.3.rs-7077052/v1","title":"Visual-Language Transformer-Based Tomato Leaf Disease Detection for Portable Greenhouse Monitoring Device","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Greenhouse; Transformer; Computer science; Horticulture; Engineering; Biology; Electrical engineering; Voltage","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":[0.0002114416,0.0005660189,0.0004181144,0.0004697285,0.0001192497,0.0005154506,0.001057774,0.0005291152,0.01317077],"category_scores_gemma":[0.0004792703,0.0001644728,0.0002770572,0.0002464372,0.0001539047,0.0005711883,0.0004856997,0.0002397458,0.003198799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002746047,"about_ca_system_score_gemma":0.0002709344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001168533,"about_ca_topic_score_gemma":0.001826227,"domain_scores_codex":[0.9998035,0.00002166623,0.000009448734,0.00006414272,0.00007260992,0.00002868385],"domain_scores_gemma":[0.9997832,0.00005762873,0.00002052689,0.00003505788,0.00007793264,0.00002563022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00158454,0.0002059688,0.00212795,0.0003613748,0.00004762999,0.0003228913,0.00008965833,0.00271147,0.7372198,0.001155279,0.01404353,0.2401299],"study_design_scores_gemma":[0.0002646515,0.0007653233,0.008073436,0.00005972978,0.0001405707,0.001585784,0.0001383586,0.3238871,0.6376081,0.001580123,0.02581134,0.00008556443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1636834,0.0005759851,0.7603323,0.0003659675,0.000337116,0.0004050679,0.002851118,0.05397001,0.01747899],"genre_scores_gemma":[0.8455628,0.0002476658,0.1266958,0.0005838228,0.00008981254,0.000213926,0.002155874,0.0008655671,0.02358477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01317077,"threshold_uncertainty_score":0.04406065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05655327365092434,"score_gpt":0.3756769101532504,"score_spread":0.3191236365023261,"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."}}