{"id":"W3196567728","doi":"10.3390/agronomy11091781","title":"Potato Tuber Shape Phenotyping Using RGB Imaging","year":2021,"lang":"en","type":"article","venue":"Agronomy","topic":"Potato Plant Research","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Greenhouse; Cultivar; Biology; Pipeline (software); Horticulture; Agronomy; Mathematics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002178643,0.0003177038,0.0002298716,0.0008995832,0.0002015821,0.0004811465,0.0002434619,0.0002942906,0.001681942],"category_scores_gemma":[0.0002938529,0.0003154327,0.0003362242,0.0005992034,0.0001550881,0.000226856,0.0003992919,0.0004413751,0.0007577997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002775407,"about_ca_system_score_gemma":0.0001820315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002552808,"about_ca_topic_score_gemma":0.007978298,"domain_scores_codex":[0.9998253,0.00001234192,0.00001131735,0.00006411244,0.00006410779,0.00002284382],"domain_scores_gemma":[0.9996687,0.00004741278,0.0000785408,0.00004996496,0.0001222841,0.00003314939],"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":[0.00005204114,0.00001949543,0.006470921,0.00005324667,0.00001107706,0.00007544486,0.00007147146,0.0003484017,0.9792367,0.00006180622,0.0002438381,0.01335546],"study_design_scores_gemma":[0.00001424521,0.0002238218,0.4841247,0.00003209901,0.00006814746,0.001403621,0.0002083962,0.02319746,0.4859975,0.0002126768,0.004462722,0.00005456202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8659793,0.0003167952,0.1220214,0.00006535357,0.00002325853,0.0002843596,0.004384789,0.002380487,0.004544255],"genre_scores_gemma":[0.7779657,0.0004784433,0.2094794,0.0001252753,0.00001105149,0.0004023214,0.006078149,0.0008574625,0.004602125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002552808,"threshold_uncertainty_score":0.005626678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03541162875198448,"score_gpt":0.255002883475021,"score_spread":0.2195912547230366,"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."}}