{"id":"W3134152761","doi":"10.32628/cseit1949177","title":"Crop Health Monitoring System Using Machine Learning","year":2019,"lang":"en","type":"article","venue":"International Journal of Scientific Research in Computer Science Engineering and Information Technology","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Crop; Agricultural engineering; Computer science; Environmental science; Artificial intelligence; Agronomy; Engineering; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.002923114,0.00005977114,0.000112945,0.0007785045,0.0001911223,0.0005094868,0.0006383891,0.00004308729,0.000003995779],"category_scores_gemma":[0.00006447276,0.00002776288,0.00002277446,0.001644606,0.0001338443,0.001708932,0.0002284585,0.0003743086,0.000008674436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002091688,"about_ca_system_score_gemma":0.00005989334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003678421,"about_ca_topic_score_gemma":0.00000168643,"domain_scores_codex":[0.9984515,0.00002366259,0.0003523058,0.0001216818,0.0007897378,0.0002610843],"domain_scores_gemma":[0.9989812,0.00006197771,0.0001511419,0.00003914364,0.0006921249,0.00007438417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000265062,0.0000618611,0.09625918,0.00006150815,0.00002445424,0.0000211557,0.0009274373,0.06800575,0.2723732,0.007817611,0.00005454312,0.5543668],"study_design_scores_gemma":[0.000561971,0.0006546009,0.04248906,0.001007672,0.000001348191,0.000736143,0.001479291,0.9019245,0.01994693,0.0001497038,0.0308022,0.0002465768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956104,0.0001165886,0.001124578,0.001138148,0.001888273,0.0000742428,0.000001503569,0.00002758301,0.00001873856],"genre_scores_gemma":[0.9966447,0.00002790297,0.003162134,0.000008137072,0.0001484561,8.538058e-7,0.000001818168,3.707515e-7,0.000005668618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8339188,"threshold_uncertainty_score":0.4912993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02614824996556507,"score_gpt":0.2886991336544202,"score_spread":0.2625508836888551,"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."}}