{"id":"W3099475345","doi":"10.3390/app10217937","title":"Freshness Monitoring of Packaged Vegetables","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Active packaging; Food packaging; Food spoilage; Food safety; Risk analysis (engineering); Quality (philosophy); Business; Computer science; Engineering; Food science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004532646,0.0005038393,0.0004508609,0.0008848752,0.0002188574,0.0006640378,0.0004377909,0.0006040395,0.0008929077],"category_scores_gemma":[0.0005401784,0.0002274286,0.0004846194,0.0007051908,0.0002299875,0.0008228932,0.0003368855,0.000423027,0.0004973133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002352513,"about_ca_system_score_gemma":0.0001506643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006086683,"about_ca_topic_score_gemma":0.0009470468,"domain_scores_codex":[0.9996132,0.0000503131,0.00001938651,0.0001166597,0.0001751577,0.0000252898],"domain_scores_gemma":[0.9997384,0.00005333178,0.00007134021,0.0000185077,0.0001072621,0.00001113925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002222199,0.00003638305,0.008196604,0.002007585,0.00008872997,0.0003529345,0.0002866982,0.0007796671,0.899377,0.0005270804,0.0008281079,0.08729686],"study_design_scores_gemma":[0.0000160217,0.00138529,0.06865274,0.0004782533,0.0003308101,0.002073522,0.0007030905,0.007582711,0.8651577,0.00129987,0.05221023,0.0001097218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7367238,0.1169243,0.1251358,0.0005865939,0.0005755347,0.0002653714,0.002374406,0.001109087,0.01630516],"genre_scores_gemma":[0.8606358,0.0550245,0.07113783,0.0005953101,0.000163276,0.0001503583,0.001427804,0.000137786,0.01072736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008929077,"threshold_uncertainty_score":0.002987087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02866943302751836,"score_gpt":0.2279569111624635,"score_spread":0.1992874781349451,"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."}}