{"id":"W4411329762","doi":"10.3390/agriengineering7060193","title":"Jasmine Flower Color Degradation User-Coded Computer Vision Image Analysis Tool and Kinetics Modeling","year":2025,"lang":"en","type":"article","venue":"AgriEngineering","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Agricultural Research Service; National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Degradation (telecommunications); Computer science; Image (mathematics); Computer vision; Artificial intelligence; Computer graphics (images); Telecommunications","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":[0.0005877471,0.001050769,0.0004861435,0.0006764422,0.0002540951,0.0008610073,0.0008320363,0.0006988285,0.006132832],"category_scores_gemma":[0.001118146,0.000364622,0.000912799,0.0003502076,0.0001759012,0.0004707889,0.0003477444,0.0006982067,0.001776029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006869995,"about_ca_system_score_gemma":0.000684442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004254858,"about_ca_topic_score_gemma":0.003648557,"domain_scores_codex":[0.9998412,0.00001560006,0.00001134925,0.00005649425,0.0000554606,0.00001988284],"domain_scores_gemma":[0.9997283,0.00009486634,0.00003557447,0.00002316357,0.0001066131,0.00001143652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008263546,0.0005822512,0.00899217,0.001617825,0.0002737394,0.0005538584,0.0006038312,0.2803315,0.3748822,0.01201284,0.03544503,0.2838785],"study_design_scores_gemma":[0.00001085277,0.00003613963,0.001117937,0.00001258567,0.00001965978,0.00007765552,0.00001448789,0.9445745,0.04819297,0.0006880958,0.005223484,0.00003182229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05861844,0.0003002966,0.8996012,0.0001562453,0.00007696215,0.000174786,0.002330361,0.03416683,0.004574836],"genre_scores_gemma":[0.4747476,0.0006846788,0.5065885,0.0001671062,0.0000223999,0.001254044,0.003412888,0.003157655,0.009965058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006132832,"threshold_uncertainty_score":0.0205164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004558395875064083,"score_gpt":0.2373173424232166,"score_spread":0.2327589465481525,"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."}}