{"id":"W4295860330","doi":"10.2139/ssrn.4188680","title":"Crop Diagnostic System: A Robust Disease Detection and Management System for Leafy Green Crops Grown in an Aquaponics Facility","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Aquaponics; Leafy vegetables; Crop; Agronomy; Leafy; Agroforestry; Environmental science; Horticulture; Biology; Aquaculture","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":[0.0004015691,0.0006076168,0.0004825739,0.0006411594,0.0003236743,0.000395086,0.000889745,0.0004603188,0.006948667],"category_scores_gemma":[0.0004569314,0.0002330698,0.0002215948,0.0003004158,0.0002008229,0.0005684984,0.0006344241,0.0003359756,0.002181436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006463517,"about_ca_system_score_gemma":0.0007294672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00419476,"about_ca_topic_score_gemma":0.005376818,"domain_scores_codex":[0.9997194,0.000019413,0.00001484514,0.00009679083,0.0001177496,0.00003174156],"domain_scores_gemma":[0.9996061,0.00006055335,0.00007921036,0.00006666817,0.0001148034,0.00007275679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001548457,0.0004887986,0.02460614,0.0003495413,0.0001085553,0.0003803534,0.0002931512,0.00465135,0.6776109,0.0008769508,0.04223965,0.2468461],"study_design_scores_gemma":[0.0003937471,0.001791264,0.08845683,0.00005832832,0.0002515497,0.001184,0.0002614823,0.3020599,0.5318706,0.001146307,0.07223228,0.0002938136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3759814,0.000501051,0.3865748,0.0004258363,0.0001730996,0.0009354912,0.01200242,0.2129284,0.01047765],"genre_scores_gemma":[0.8101563,0.0001422301,0.1637932,0.0005955787,0.00004637204,0.0003827751,0.00752391,0.001452279,0.01590738],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006948667,"threshold_uncertainty_score":0.02324563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136160326963898,"score_gpt":0.1933291533554839,"score_spread":0.1819675500858449,"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."}}