{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002494716,0.00006972697,0.0001105183,0.00002198083,0.00004065177,0.00001045229,0.0002933946,0.00003745008,0.000006405747],"category_scores_gemma":[0.00003680823,0.00006032252,0.00001496124,0.0003836324,0.0002179712,0.0000614606,0.00003973329,0.00008306482,0.00001025945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007908428,"about_ca_system_score_gemma":0.000001771422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.747306e-7,"about_ca_topic_score_gemma":1.540508e-7,"domain_scores_codex":[0.9994681,0.00000137806,0.0001051497,0.0001260396,0.0001414129,0.0001579188],"domain_scores_gemma":[0.999814,0.00004809175,0.00001894071,0.0000787315,0.000007028952,0.00003322353],"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":[8.533658e-7,0.000001746453,0.001019474,0.00002542335,0.000002918164,4.252454e-7,0.000098007,0.01369397,0.9807568,0.001631293,0.00003588534,0.002733162],"study_design_scores_gemma":[0.00004677914,0.000007761945,0.0002542473,0.000006371034,0.000001861068,1.604633e-7,0.0005729911,0.0008302127,0.996136,0.001786835,0.0002820135,0.0000748096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898436,0.0002983218,0.001664807,0.00008410126,0.00005941248,0.00004956214,0.000001451888,0.0005440187,0.007454736],"genre_scores_gemma":[0.9913172,0.00002926756,0.008592522,0.000009684421,0.00003682607,0.000006157198,1.675881e-7,0.000006390641,0.000001746512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01537912,"threshold_uncertainty_score":0.2459881,"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."}}