{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007318695,0.0001385865,0.0001772416,0.0001150056,0.0007163945,0.0001325444,0.0008623209,0.00002459077,0.00005762303],"category_scores_gemma":[0.00001876218,0.0001334617,0.00008945492,0.0003031728,0.0000104703,0.00008322763,0.0007154866,0.00009831224,0.00004035867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001827255,"about_ca_system_score_gemma":0.0002784523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000478033,"about_ca_topic_score_gemma":0.000009643584,"domain_scores_codex":[0.9985352,0.00003593651,0.0002843479,0.0004075459,0.0003374721,0.0003994992],"domain_scores_gemma":[0.9993652,0.0001233879,0.00008130673,0.0002808934,0.00006535432,0.00008386035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009837725,0.0009578944,0.002054815,0.000335361,0.0003601465,0.00003437333,0.02463892,0.0006554027,0.01097884,0.1672548,0.6225528,0.1700783],"study_design_scores_gemma":[0.0006994996,0.00005547826,0.0001539998,0.000007678115,0.000002792226,0.0000393368,0.00008659017,0.1040165,0.001055668,0.0001393077,0.8935119,0.0002313162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01456933,0.00007809812,0.9697149,0.001127311,0.009308889,0.0003819346,8.840117e-7,0.0002882633,0.004530427],"genre_scores_gemma":[0.108625,7.489284e-7,0.850202,0.0034516,0.001962955,0.0004789962,0.00003060003,0.00004948964,0.03519862],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2709591,"threshold_uncertainty_score":0.5509999,"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."}}