{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001397065,0.0005945357,0.0006474429,0.001942826,0.0008033633,0.003575588,0.0006057347,0.00219345,0.002485285],"category_scores_gemma":[0.001205178,0.0002656856,0.0004858382,0.003506953,0.002348965,0.005024982,0.001639352,0.00334901,0.000593696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205807,"about_ca_system_score_gemma":0.001570703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001159245,"about_ca_topic_score_gemma":0.001302621,"domain_scores_codex":[0.9989778,0.0003310945,0.00008589234,0.0001300157,0.0003854194,0.00008992312],"domain_scores_gemma":[0.9988146,0.0007735645,0.00008261326,0.00005824744,0.0001713137,0.00009959761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007463471,0.0001023153,0.002450468,0.005599475,0.0001089841,0.0005472991,0.000944616,0.002383166,0.002058037,0.416157,0.07951992,0.4900541],"study_design_scores_gemma":[0.000007681911,0.00008711186,0.002645021,0.00351439,0.0000414975,0.0007485505,0.001040528,0.001716092,0.0006708888,0.2262186,0.7632493,0.00006031841],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002825251,0.9004331,0.01827333,0.02622273,0.004842509,0.0000743684,0.000119786,0.0001305171,0.0470784],"genre_scores_gemma":[0.03064106,0.9321418,0.01452779,0.009017175,0.005953487,0.00009859651,0.0001246443,0.00003211745,0.007463345],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003575588,"threshold_uncertainty_score":0.00874877,"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."}}