{"id":"W4392553987","doi":"10.3390/s24051711","title":"The Rise of Passive RFID RTLS Solutions in Industry 5.0","year":2024,"lang":"en","type":"article","venue":"Sensors","topic":"RFID technology advancements","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vanier College; Université du Québec à Montréal","funders":"","keywords":"Real-time locating system; Internet of Things; Software deployment; Computer science; Risk analysis (engineering); Systems engineering; Data science; Engineering; Telecommunications; Business; Embedded system; Software 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":[0.005170078,0.0006000664,0.000306534,0.001737556,0.0006940111,0.004638584,0.001410972,0.002703842,0.003944033],"category_scores_gemma":[0.005595157,0.0003690094,0.0004776908,0.002285067,0.001480854,0.007879808,0.002274605,0.002122656,0.002024449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002016961,"about_ca_system_score_gemma":0.001332252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007688722,"about_ca_topic_score_gemma":0.0007986873,"domain_scores_codex":[0.9960252,0.0008350327,0.0002147923,0.0005243072,0.00207852,0.0003222354],"domain_scores_gemma":[0.994069,0.001697886,0.0007827671,0.0005284797,0.002655727,0.0002660707],"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":[0.0002367026,0.0001500106,0.007901864,0.002133357,0.00003025179,0.0007767266,0.002389059,0.003044948,0.04775045,0.1925565,0.01241415,0.730616],"study_design_scores_gemma":[0.0000147951,0.001027524,0.005951517,0.001169876,0.0000681706,0.002202923,0.003575186,0.008528313,0.05198446,0.02555062,0.8997972,0.0001293292],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2234353,0.1242549,0.3718815,0.03162225,0.003847441,0.0003296276,0.000353039,0.00204007,0.2422359],"genre_scores_gemma":[0.70976,0.06173773,0.1672971,0.006715153,0.00139788,0.0001209938,0.0006191807,0.0003187765,0.05203328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005170078,"threshold_uncertainty_score":0.02734232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00908730753659002,"score_gpt":0.2341570496368007,"score_spread":0.2250697421002107,"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."}}