{"id":"W3032628389","doi":"10.1109/jiot.2020.2998584","title":"IoT, Big Data, and Artificial Intelligence in Agriculture and Food Industry","year":2020,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":835,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Big data; Agriculture; Internet of Things; Food industry; Data science; Telecommunications; Artificial intelligence; Computer security; Data mining","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":[0.0002308939,0.000129388,0.0002019196,0.00001343649,0.00005003333,0.0001327827,0.0004058268,0.0001908673,0.00004730448],"category_scores_gemma":[0.00009019811,0.00004502215,0.00003510576,0.0002092705,0.00006612795,0.0002251456,0.0001746293,0.0007288441,0.000002904048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000767641,"about_ca_system_score_gemma":0.000005984461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001023176,"about_ca_topic_score_gemma":0.0002195687,"domain_scores_codex":[0.9990163,0.00004640782,0.0003391377,0.0002471475,0.0001779325,0.0001730655],"domain_scores_gemma":[0.9995061,0.00007614081,0.0001683442,0.00003303933,0.00004955482,0.0001668046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001195591,0.0001719862,0.03427388,0.00003864565,0.00008767093,0.00006577782,0.005275238,0.0000116577,0.4066004,0.0003007748,0.01636225,0.5366922],"study_design_scores_gemma":[0.001182914,0.009721546,0.3958941,0.002070147,0.0002878186,0.003854908,0.03325748,0.007318781,0.4039105,0.01810543,0.1213444,0.003052008],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934378,0.0004809542,0.00005311046,0.00555044,0.0002583362,0.00006408612,0.00001521061,0.00001169204,0.0001284226],"genre_scores_gemma":[0.9978501,0.00008487693,0.0001389912,0.0008279789,0.001058824,6.72549e-7,0.00000642007,7.44192e-7,0.00003135478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5336402,"threshold_uncertainty_score":0.3166506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0773084026063372,"score_gpt":0.2450176472830712,"score_spread":0.167709244676734,"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."}}