{"id":"W3173179577","doi":"10.3389/fpls.2021.686332","title":"Phenotyping Flowering in Canola (Brassica napus L.) and Estimating Seed Yield Using an Unmanned Aerial Vehicle-Based Imagery","year":2021,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Potato Plant Research","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"Agriculture and Agri-Food Canada; Canada First Research Excellence Fund; University of Saskatchewan","keywords":"Canola; Brassica; Crop; Biology; Crop yield; Horticulture; Agronomy","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":[0.0001616498,0.0003012045,0.0001607808,0.0007963899,0.000280394,0.0002182712,0.0002155843,0.0001113017,0.000331295],"category_scores_gemma":[0.0001843263,0.0001290565,0.0002221139,0.0005357399,0.000103631,0.0001895458,0.0001112727,0.0001094019,0.0001165162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006918049,"about_ca_system_score_gemma":0.000229688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07978213,"about_ca_topic_score_gemma":0.2172018,"domain_scores_codex":[0.9999263,0.00000909521,0.000003339183,0.00003280456,0.00001955848,0.000008865924],"domain_scores_gemma":[0.9998585,0.00003845933,0.00003164091,0.00001464551,0.00003986069,0.00001692411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002814859,0.0001358224,0.5242636,0.0001901236,0.0001131019,0.00027977,0.000469994,0.01751528,0.3882062,0.000162775,0.000559288,0.06782267],"study_design_scores_gemma":[0.000008619723,0.0001067838,0.958459,0.000008210483,0.00005075687,0.0001307255,0.0004326553,0.02688092,0.01265709,0.00007064308,0.001170205,0.00002431048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970973,0.0001237343,0.001604382,0.00001075931,0.000001609243,0.00001540521,0.0006200494,0.00007268072,0.0004541133],"genre_scores_gemma":[0.9916337,0.0001511155,0.006510079,0.00001162738,0.000001178908,0.0000242419,0.001278866,0.00001146629,0.0003777083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07978213,"threshold_uncertainty_score":0.1586355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03111312854795632,"score_gpt":0.2492908210978387,"score_spread":0.2181776925498823,"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."}}