{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006636382,0.000371831,0.001185911,0.00001865049,0.0002061697,0.0001971274,0.0003179062,0.0001847023,0.0001677641],"category_scores_gemma":[0.00009937459,0.0001220652,0.000391298,0.0005232858,0.00005107177,0.0000652653,0.0001553394,0.000340022,0.0001304214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006505855,"about_ca_system_score_gemma":0.00002175949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002886752,"about_ca_topic_score_gemma":0.0002348783,"domain_scores_codex":[0.9974564,0.0006446223,0.0005060666,0.0005731638,0.0004098318,0.0004099032],"domain_scores_gemma":[0.9987579,0.000609888,0.0002752246,0.0001660549,0.00005278688,0.0001381616],"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":[0.000001796809,0.0000405388,0.0002113551,0.001621797,0.0001216912,0.00005773785,0.00003572299,8.481824e-7,0.000002535405,0.0003320091,0.0001623638,0.9974116],"study_design_scores_gemma":[0.00003080522,0.00003015861,0.0007876733,0.004553751,0.0001603325,0.000012864,0.0003570223,2.178348e-7,0.000004779587,0.00001025311,0.9936509,0.0004012073],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006491464,0.9900605,4.685134e-7,0.0003175332,0.0002735844,0.0003520783,0.00006064018,0.0001199395,0.002323791],"genre_scores_gemma":[0.0001439389,0.9950626,0.00007388955,0.00005970987,0.0005898015,0.00002990369,0.0001983347,0.000003299835,0.003838483],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9970104,"threshold_uncertainty_score":0.4977676,"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."}}