{"id":"W4387746069","doi":"10.1177/26339137231208966","title":"Fostering new vertical and horizontal IoT applications with intelligence everywhere","year":2023,"lang":"en","type":"article","venue":"Collective Intelligence","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of New Brunswick","funders":"","keywords":"Orchestration; Cloud computing; Computer science; Internet of Things; Collective intelligence; Data science; Context (archaeology); Knowledge management; World Wide Web","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":[0.001647919,0.0005156344,0.0003056751,0.0006140902,0.001165199,0.004179149,0.001076135,0.001333771,0.001902396],"category_scores_gemma":[0.001894787,0.0003090998,0.0004796011,0.0006937621,0.001950162,0.006673719,0.009232498,0.002191546,0.000702242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005681038,"about_ca_system_score_gemma":0.001389774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008879826,"about_ca_topic_score_gemma":0.001725707,"domain_scores_codex":[0.9990098,0.0002230496,0.00004513577,0.0001490699,0.000318339,0.0002545192],"domain_scores_gemma":[0.9984797,0.0002982152,0.0001412736,0.0005349832,0.0002091613,0.0003366778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001296584,0.0004377484,0.01115766,0.0004381837,0.00009521974,0.001137096,0.005905336,0.01131204,0.04999447,0.6523204,0.01512632,0.2519459],"study_design_scores_gemma":[0.00004681918,0.0002970883,0.006766994,0.0005218235,0.00009784727,0.0008514648,0.008241296,0.1168648,0.02774528,0.5652828,0.2731927,0.00009111544],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2332355,0.001776273,0.5408966,0.01216076,0.0005095332,0.0003464295,0.0001442473,0.002451,0.2084797],"genre_scores_gemma":[0.8511288,0.0009841571,0.1386482,0.001078628,0.0001502094,0.0001166468,0.0001507425,0.0001760442,0.007566667],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.004179149,"threshold_uncertainty_score":0.008715153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05078819773654613,"score_gpt":0.2901461572121661,"score_spread":0.23935795947562,"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."}}