{"id":"W2945347896","doi":"10.3389/fpls.2019.00563","title":"Improving Potato Stress Tolerance and Tuber Yield Under a Climate Change Scenario – A Current Overview","year":2019,"lang":"en","type":"review","venue":"Frontiers in Plant Science","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":305,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Government of Canada","keywords":"Food security; Agronomy; Crop yield; Population; Cultivar; Crop; Biology; Abiotic component; Climate change; Environmental science; Yield (engineering); Agroforestry; Agriculture; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000951357,0.0007921861,0.001127335,0.001622576,0.0002774005,0.001685279,0.0008846144,0.001413057,0.003545713],"category_scores_gemma":[0.0007603021,0.0003536037,0.0007262089,0.001577305,0.0003607465,0.001678048,0.0006987486,0.001219604,0.001103756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006474331,"about_ca_system_score_gemma":0.001158327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001485214,"about_ca_topic_score_gemma":0.001215434,"domain_scores_codex":[0.9996942,0.00004393893,0.00004002334,0.00009340094,0.00008514771,0.00004336569],"domain_scores_gemma":[0.9992531,0.0003357856,0.0001320782,0.0000205965,0.0001973295,0.00006106424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002495435,0.0002882302,0.002124143,0.02151049,0.0001634445,0.0001661168,0.0001289579,0.001377821,0.009813802,0.003616265,0.01362547,0.9469357],"study_design_scores_gemma":[0.00003089995,0.001356708,0.01333305,0.00662636,0.0006723627,0.00111629,0.000386997,0.001524548,0.006544587,0.005022663,0.9632953,0.00009027512],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001729268,0.9943694,0.0005994041,0.001057737,0.0001396661,0.00001679956,0.00008146575,0.00004006183,0.001966111],"genre_scores_gemma":[0.007746492,0.9899709,0.0008300804,0.0003469005,0.000268437,0.00002823112,0.0001269705,0.000006698383,0.000675455],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003545713,"threshold_uncertainty_score":0.01186156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08041607281983444,"score_gpt":0.2841607087477587,"score_spread":0.2037446359279242,"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."}}