{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000580675,0.001420267,0.0008645436,0.00125855,0.0005259321,0.001309528,0.001941397,0.001142194,0.04949897],"category_scores_gemma":[0.001468827,0.0003701503,0.0004502223,0.0009688825,0.0002740664,0.00278034,0.001898394,0.0008522751,0.03259516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005091779,"about_ca_system_score_gemma":0.0004706656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002749543,"about_ca_topic_score_gemma":0.003062316,"domain_scores_codex":[0.9994352,0.00006641349,0.00002870415,0.0001310533,0.0002409517,0.0000976868],"domain_scores_gemma":[0.9994835,0.00006433707,0.00003710226,0.0001530996,0.0002144215,0.00004751497],"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":[0.00101317,0.0002282016,0.006620236,0.0006950859,0.0001499104,0.0006268717,0.0002488974,0.003782597,0.0332134,0.01419918,0.2507788,0.6884436],"study_design_scores_gemma":[0.0001997585,0.0005498394,0.009370847,0.0001894943,0.0001566344,0.001375845,0.0002257735,0.111992,0.03664462,0.01220672,0.8268712,0.000217353],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04790062,0.00468955,0.4432067,0.002132127,0.001760755,0.00177347,0.0202881,0.1004472,0.3778015],"genre_scores_gemma":[0.4950587,0.00349728,0.1429988,0.002966765,0.0005917802,0.0020173,0.04461101,0.00336519,0.3048933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04949897,"threshold_uncertainty_score":0,"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."}}