{"id":"W6930192706","doi":"10.5281/zenodo.10940300","title":"INTERNET OF THINGS (IoT) IN HOSPITALITY","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Context (archaeology); Hospitality; Service (business); Internet of Things; Service provider; The Internet; Resource (disambiguation); Enabling; Near field communication","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":[0.000535276,0.0004487517,0.0002966902,0.0009371843,0.001091596,0.004198355,0.0008812639,0.002586279,0.01143074],"category_scores_gemma":[0.0008631294,0.0002390462,0.0004187765,0.002608533,0.001207136,0.005206529,0.002655061,0.0026102,0.006319175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001268311,"about_ca_system_score_gemma":0.0009572429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001875917,"about_ca_topic_score_gemma":0.001738479,"domain_scores_codex":[0.9993123,0.0001478297,0.00004145414,0.0001114235,0.0002557514,0.0001312266],"domain_scores_gemma":[0.9995491,0.0001166738,0.00005286673,0.00004152221,0.0001317305,0.0001079885],"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":[0.00006546651,0.00006064086,0.001797675,0.001598675,0.0000248228,0.001289558,0.001107392,0.0016661,0.002153222,0.3160121,0.2840969,0.3901274],"study_design_scores_gemma":[0.000002486484,0.00003199627,0.0008124926,0.0006101414,0.000008875185,0.0009189607,0.0008324602,0.0007780345,0.0003955919,0.04082331,0.9547496,0.00003595036],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01014964,0.2756855,0.03840847,0.07143355,0.01864156,0.0001732472,0.0009170852,0.001220293,0.5833706],"genre_scores_gemma":[0.2796478,0.3631787,0.03879088,0.03056555,0.01108723,0.0002255982,0.002116866,0.0004489842,0.2739383],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01143074,"threshold_uncertainty_score":0.03823966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03254768789071805,"score_gpt":0.2430878710227133,"score_spread":0.2105401831319952,"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."}}