{"id":"W4318037443","doi":"10.1109/gcaiot57150.2022.10019206","title":"Novel IoT Development Kit for Personalized Smart Ecosystems: Aliot","year":2022,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Collège de Maisonneuve; Laboratoire Recherche Informatique Maisonneuve","funders":"","keywords":"Computer science; Python (programming language); Internet of Things; Field (mathematics); Task (project management); Context (archaeology); World Wide Web; The Internet; Data science; Software engineering; Systems engineering; Operating system; Engineering","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":[0.0006582936,0.001115452,0.0003832575,0.000688933,0.0003197869,0.001008123,0.001931597,0.0008058628,0.01614135],"category_scores_gemma":[0.00216429,0.000579609,0.0006670531,0.0003161522,0.0003233243,0.002097648,0.00228723,0.001324028,0.00949392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002649414,"about_ca_system_score_gemma":0.000914852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004626878,"about_ca_topic_score_gemma":0.000736472,"domain_scores_codex":[0.9994223,0.00007562143,0.00004557588,0.00008606393,0.0002827582,0.0000876686],"domain_scores_gemma":[0.9991454,0.000211898,0.00006227229,0.0001344167,0.0002505155,0.0001955351],"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":[0.0009774296,0.001172622,0.007918517,0.002329218,0.0001708063,0.003149722,0.00169104,0.008603526,0.1550642,0.01959869,0.1830729,0.6162512],"study_design_scores_gemma":[0.0002298931,0.0006285071,0.005835154,0.0004043136,0.00016801,0.003890588,0.0002809615,0.07625808,0.1085882,0.008216045,0.795233,0.0002671648],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02855246,0.000549582,0.8124788,0.000588557,0.0005017262,0.001697914,0.002515917,0.1175443,0.03557074],"genre_scores_gemma":[0.09792809,0.0008320953,0.8071254,0.001298431,0.00008321841,0.002566125,0.006872664,0.01748105,0.06581293],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01614135,"threshold_uncertainty_score":0.05399823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03801529688887093,"score_gpt":0.2462249476865462,"score_spread":0.2082096507976753,"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."}}