{"id":"W4414167364","doi":"10.1002/pei3.70077","title":"Rapid Physiological Trait Measurements in Wine Grape ( <scp> <i>Vitis vinifera</i> </scp> ) Varieties Using the Dynamic Assimilation Technique","year":2025,"lang":"en","type":"article","venue":"Plant-Environment Interactions","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Niagara College; The Scarborough Hospital; University of Toronto","funders":"University of Toronto Scarborough; Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Trait; Wine; Wine grape; Crop; Data assimilation; Crop yield; Viticulture; RuBisCO","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002661671,0.0002141536,0.0002060787,0.00003449194,0.0004867106,0.0001132896,0.0002809995,0.0001089312,0.0003858437],"category_scores_gemma":[0.0001174607,0.00007396993,0.0001275736,0.0003276301,0.0001184843,0.0002663178,0.0001191556,0.0004290659,0.00002705111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001970737,"about_ca_system_score_gemma":0.000008379311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002540851,"about_ca_topic_score_gemma":0.0003673459,"domain_scores_codex":[0.9983189,0.0002402463,0.0003499057,0.0003600233,0.0003419231,0.000388988],"domain_scores_gemma":[0.9992711,0.0004571799,0.000090751,0.00008378134,0.00002906947,0.00006814497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001528231,0.0002171089,0.0018812,0.00000688106,0.00003669571,0.000002724871,0.0001114945,0.0001947592,0.9897258,0.00004259438,0.001169018,0.006596419],"study_design_scores_gemma":[0.0003622398,0.0003482568,0.8736842,0.0002191854,0.00008268623,0.00005592063,0.002985929,0.004249339,0.04439687,0.001035259,0.07230727,0.0002728362],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946098,0.0001257487,0.000172792,0.002576714,0.0001665402,0.0007266054,0.0001427669,0.00005851935,0.001420509],"genre_scores_gemma":[0.9978241,0.0002368541,0.0001154982,0.000288122,0.00008264155,0.000190192,0.000313193,0.0000013777,0.000948064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.945329,"threshold_uncertainty_score":0.4224718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07194803070213715,"score_gpt":0.2859667558562211,"score_spread":0.214018725154084,"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."}}