{"id":"W4413318797","doi":"10.1109/tmc.2025.3599917","title":"RipeTrack: Assessing Fruit Ripeness and Remaining Lifetime Using Smartphones","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ripeness; Computer 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":[0.0003185388,0.0002077394,0.0002516679,0.00004134491,0.001181323,0.0003416587,0.0001744927,0.0001186746,0.0000979656],"category_scores_gemma":[0.00002094707,0.00008731107,0.0001086962,0.0006598245,0.00009778904,0.0002583763,0.000009967978,0.0003432403,0.00001348585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006520448,"about_ca_system_score_gemma":0.00002032094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002516638,"about_ca_topic_score_gemma":0.0001232745,"domain_scores_codex":[0.998458,0.000134666,0.0003098486,0.0004305741,0.0002377136,0.0004291565],"domain_scores_gemma":[0.9990578,0.0005622196,0.00006490101,0.00006491477,0.0001256338,0.000124488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002025396,0.0001032366,0.0006572534,0.00003159427,0.00003459392,0.00000826512,0.000157099,0.005232126,0.4379071,0.0000228183,0.00002410651,0.5558016],"study_design_scores_gemma":[0.001994227,0.001246479,0.1788771,0.003451794,0.0003628486,0.0002354307,0.01518032,0.300495,0.4858068,0.0005036265,0.009075054,0.002771355],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902707,0.0001529779,0.008115247,0.0002662525,0.0003740353,0.0002830547,0.000008460226,0.0001330281,0.0003962319],"genre_scores_gemma":[0.9986051,0.00003417995,0.0006480992,0.0001492753,0.0001217367,0.00001390385,0.000004578861,0.000001684817,0.0004214359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5530302,"threshold_uncertainty_score":0.90859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03647660004323944,"score_gpt":0.3164903274517235,"score_spread":0.2800137274084841,"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."}}