{"id":"W4387668549","doi":"10.3390/agriculture13102007","title":"Water Deficit Duration Affects Potato Plant Growth, Yield and Tuber Quality","year":2023,"lang":"en","type":"article","venue":"Agriculture","topic":"Potato Plant Research","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Yield (engineering); Vegetative reproduction; Dry matter; Irrigation; Biology; Agronomy; Biomass (ecology); Deficit irrigation; Horticulture; Drought tolerance; Plant growth; Irrigation management","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003421299,0.0001460795,0.0001520579,0.00001346478,0.000235383,0.0001160377,0.0001482251,0.0001510581,0.0001495133],"category_scores_gemma":[0.0001067129,0.00003704376,0.00005185028,0.0003303511,0.00003002583,0.0001487112,0.000113673,0.0001785208,0.0003682621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001393486,"about_ca_system_score_gemma":0.000002406261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006378089,"about_ca_topic_score_gemma":0.00192245,"domain_scores_codex":[0.9987288,0.00008254449,0.0001466903,0.0003132964,0.0003099807,0.0004186911],"domain_scores_gemma":[0.9994263,0.0003154231,0.00003058166,0.00004005342,0.00006129889,0.0001263247],"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":[0.00001660293,0.00002217752,0.01651368,0.00001852413,0.00001207602,0.00003620763,0.000179008,8.016523e-7,0.9543431,0.0006059702,0.02688647,0.001365422],"study_design_scores_gemma":[0.00009822625,0.00009840692,0.890314,0.00002740658,0.000008115926,0.00006778161,0.000422193,0.000009931906,0.09875393,0.000526465,0.009422269,0.0002513176],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924464,0.00006199331,2.475417e-7,0.005911971,0.0000670005,0.0002187251,0.0001124862,0.0001777386,0.001003387],"genre_scores_gemma":[0.9975022,0.0001155567,0.000005110841,0.0001702822,0.0001910783,0.00002640742,0.0008417956,7.740128e-7,0.001146767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8738003,"threshold_uncertainty_score":0.4733388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03249777238607377,"score_gpt":0.2453009432279604,"score_spread":0.2128031708418867,"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."}}