{"id":"W4410859437","doi":"10.1049/wss2.70008","title":"IoT‐Based Food Quality Monitoring System","year":2025,"lang":"en","type":"article","venue":"IET Wireless Sensor Systems","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Quality (philosophy); Business; Computer science; Food quality; Food science; Biology","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":[0.0003839001,0.0007303889,0.0008167793,0.001272063,0.000439402,0.0008895429,0.001176856,0.0007092773,0.0102236],"category_scores_gemma":[0.0005426053,0.0002880921,0.0003673125,0.0008261458,0.0001836184,0.0008502914,0.0007280136,0.0003744267,0.004401538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00038303,"about_ca_system_score_gemma":0.0003936784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001813985,"about_ca_topic_score_gemma":0.001244392,"domain_scores_codex":[0.9994148,0.00003737347,0.00006224402,0.0001914108,0.0002368505,0.000057334],"domain_scores_gemma":[0.9995652,0.00005491903,0.0000550306,0.00008242657,0.0001987831,0.00004360392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003741589,0.001372803,0.03126755,0.001668482,0.0002959048,0.002318488,0.0004019853,0.01724839,0.2963303,0.003612941,0.1221371,0.5196046],"study_design_scores_gemma":[0.000634395,0.001517259,0.06322472,0.000324751,0.0003817641,0.00280173,0.0002377221,0.4946193,0.2549076,0.003496719,0.1774411,0.0004130005],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3428011,0.003524633,0.3456698,0.001416752,0.001695578,0.002397801,0.02055416,0.1412225,0.1407176],"genre_scores_gemma":[0.9197297,0.0006069515,0.03469307,0.001256134,0.0002136857,0.0006494769,0.009273595,0.0004511958,0.03312618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0102236,"threshold_uncertainty_score":0.03420132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03971046396403009,"score_gpt":0.2855385861737756,"score_spread":0.2458281222097455,"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."}}