{"id":"W3131684588","doi":"10.3390/s21041509","title":"Fruit Quality Monitoring with Smart Packaging","year":2021,"lang":"en","type":"review","venue":"Sensors","topic":"Postharvest Quality and Shelf Life Management","field":"Agricultural and Biological Sciences","cited_by":205,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Active packaging; Shelf life; Quality (philosophy); Food packaging; Plastic packaging; Risk analysis (engineering); Business; Computer science; Engineering","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":[0.000544351,0.0009384459,0.001118858,0.001989625,0.0001966329,0.001042006,0.0008146736,0.001368123,0.002322312],"category_scores_gemma":[0.0006969812,0.0003680105,0.001030944,0.001762078,0.0002882165,0.001548812,0.0005670729,0.001125686,0.001275285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004305171,"about_ca_system_score_gemma":0.0004406073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007401349,"about_ca_topic_score_gemma":0.001028724,"domain_scores_codex":[0.9995952,0.00005056299,0.00003070716,0.00009844056,0.0001936934,0.00003136639],"domain_scores_gemma":[0.9997318,0.0001061051,0.00004646489,0.00001245622,0.00009142288,0.00001168563],"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":[0.0001082512,0.0001307442,0.001025338,0.03128153,0.0001930256,0.000315519,0.0001062249,0.001162232,0.04282381,0.005538841,0.01344246,0.9038721],"study_design_scores_gemma":[0.0000175219,0.0004340423,0.004004135,0.004155981,0.0003732902,0.002240428,0.0001447581,0.001658465,0.0360217,0.00300176,0.9478644,0.00008351704],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002438185,0.9869441,0.003454665,0.0003237731,0.0003573937,0.00003748725,0.0001436089,0.00007135805,0.006229471],"genre_scores_gemma":[0.01637708,0.9744349,0.004337608,0.0004040615,0.0001949551,0.00005081867,0.0002532543,0.000013398,0.003933929],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002322312,"threshold_uncertainty_score":0.007768929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1579636865543911,"score_gpt":0.3505862213528389,"score_spread":0.1926225347984478,"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."}}