{"id":"W4200005100","doi":"10.1145/3494971","title":"Wi-Fruit","year":2021,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Orange (colour); Limiting; Moisture; Computer science; Agricultural engineering; Horticulture; PEAR; Mathematics; Environmental science; Artificial intelligence; Biology; Materials science; Engineering; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008652073,0.0001649229,0.0002259643,0.00001635381,0.0002076148,0.00007975609,0.0008840629,0.0001419702,0.00005094531],"category_scores_gemma":[0.0007513368,0.00005238862,0.0001089281,0.0004473182,0.0001481134,0.0001878326,0.00110048,0.0002888645,0.000009953263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002183589,"about_ca_system_score_gemma":0.000005583476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002422866,"about_ca_topic_score_gemma":0.00002633418,"domain_scores_codex":[0.999066,0.000007087703,0.000176517,0.0003380172,0.0001792892,0.0002331031],"domain_scores_gemma":[0.9992549,0.0001886512,0.0001547038,0.0001278123,0.0002509202,0.00002294696],"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":[0.00004105615,0.0001298972,0.005732188,0.00001866684,0.00003397651,0.000001643779,0.0001117325,6.018718e-7,0.9142853,0.0008799791,0.00761049,0.07115446],"study_design_scores_gemma":[0.00008088043,0.000391064,0.01334258,0.000188533,0.00001758599,0.00003332735,0.009095061,0.000001994828,0.9337512,0.0111961,0.03175555,0.0001461538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889033,0.0007387453,4.11271e-8,0.005540431,0.0001329396,0.0002104005,0.00001340856,0.0002041909,0.004256526],"genre_scores_gemma":[0.9981405,0.000470702,0.00008509244,0.0001652353,0.00007334246,0.00008661585,0.000001682953,0.000001407798,0.0009754651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07100831,"threshold_uncertainty_score":0.2136346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01026554258289099,"score_gpt":0.2173817725760033,"score_spread":0.2071162299931123,"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."}}