{"id":"W3091222654","doi":"10.18280/isi.250405","title":"Machine Vision Based Plant Disease Classification Through Leaf Imagining","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Machine vision; Artificial intelligence; Computer vision; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108699,0.0001505039,0.0001340882,0.00001110236,0.0002961433,0.000223176,0.0001728713,0.00006163596,0.0001725671],"category_scores_gemma":[0.00011693,0.00005931518,0.00007883182,0.0003709017,0.00005070613,0.001905515,0.00003779678,0.0001047083,0.0001955699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004713804,"about_ca_system_score_gemma":0.00001449793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007766453,"about_ca_topic_score_gemma":0.00001581226,"domain_scores_codex":[0.9990203,0.00004580829,0.000337863,0.0001503163,0.0002434089,0.0002022364],"domain_scores_gemma":[0.9994585,0.00006285602,0.0001805158,0.00004977006,0.00009836991,0.00015001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001182894,0.0003006671,0.07138404,0.0007031034,0.00007866852,0.00002530051,0.01358476,0.001215523,0.1201275,0.01292974,0.04669176,0.731776],"study_design_scores_gemma":[0.0006625421,0.0004655255,0.5198547,0.0002155973,0.00005377827,0.000008513266,0.002704365,0.08401727,0.002945158,0.00141613,0.3869393,0.0007171137],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9449913,0.0005016361,0.005820974,0.02371484,0.0004776779,0.001002331,0.0006646062,0.0009578204,0.02186884],"genre_scores_gemma":[0.9942117,0.00001962984,0.000305098,0.003079446,0.0002350999,0.00002531412,0.002109645,9.255444e-7,0.00001318465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7310589,"threshold_uncertainty_score":0.251372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02607684245876818,"score_gpt":0.2224711340474374,"score_spread":0.1963942915886693,"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."}}