{"id":"W4224035921","doi":"10.1109/icacta54488.2022.9752796","title":"Survey on IoT based Farm Freshness Mobile Application","year":2022,"lang":"en","type":"article","venue":"","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Android app; Microcontroller; GSM; Arduino; Android (operating system); Computer science; Internet of Things; Android application; Agricultural engineering; Engineering; Computer security; Embedded system; Telecommunications; Operating system","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":[0.0007661274,0.0004000945,0.0003294905,0.001391898,0.0004723611,0.001061374,0.0005832807,0.0006210929,0.007520881],"category_scores_gemma":[0.002246709,0.0001808825,0.0003727919,0.001497622,0.0001326758,0.002041839,0.0006851338,0.000459657,0.003714042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000378283,"about_ca_system_score_gemma":0.0003307598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003052061,"about_ca_topic_score_gemma":0.003717667,"domain_scores_codex":[0.9990668,0.0001559021,0.0001046773,0.0001269734,0.0003771488,0.0001684924],"domain_scores_gemma":[0.998726,0.0003394868,0.0001431025,0.00007882328,0.0006114006,0.0001012941],"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":[0.00104324,0.0007109979,0.255207,0.002931905,0.0001180043,0.002854206,0.003046751,0.00149741,0.0265959,0.005077044,0.09161175,0.6093058],"study_design_scores_gemma":[0.00005823736,0.001967112,0.4759015,0.001035084,0.0003632023,0.004706127,0.01012114,0.016642,0.02046972,0.001616313,0.4669119,0.0002075548],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7910188,0.009147232,0.02389781,0.00340539,0.000603509,0.001778781,0.01260767,0.003283746,0.154257],"genre_scores_gemma":[0.9179206,0.007816516,0.008383267,0.00176307,0.0001730259,0.0007229457,0.01055595,0.0002080107,0.05245659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007520881,"threshold_uncertainty_score":0.02515984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009650874596645868,"score_gpt":0.211043448108605,"score_spread":0.2013925735119592,"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."}}