{"id":"W4415237357","doi":"10.1111/ppl.70572","title":"The Invisible Frontline: High‐Tech Root Imaging for Crop Stress Adaptation","year":2025,"lang":"en","type":"article","venue":"Physiologia Plantarum","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Government of Canada","keywords":"Hydroponics; Abiotic stress; Adaptation (eye); Root (linguistics); Abiotic component; Resilience (materials science); Crop; Root system; Trait","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":[0.001141481,0.0008634605,0.0004214307,0.001192109,0.0004003005,0.001901267,0.001294018,0.002308331,0.05794809],"category_scores_gemma":[0.0009420499,0.0003832077,0.0003103761,0.0007008881,0.0005383603,0.002178248,0.001292991,0.001790539,0.03908227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007198444,"about_ca_system_score_gemma":0.0004449615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003410348,"about_ca_topic_score_gemma":0.0007084956,"domain_scores_codex":[0.9994616,0.0000748278,0.00001585264,0.00009895635,0.0003012758,0.00004743922],"domain_scores_gemma":[0.9992208,0.0001954238,0.00007699774,0.00007643308,0.0002743263,0.0001560432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002773957,0.00007409511,0.0003692329,0.001969327,0.00003883126,0.0002535642,0.00004908263,0.0004846634,0.1956877,0.02006189,0.3467445,0.4339897],"study_design_scores_gemma":[0.00002287913,0.000075854,0.0004366175,0.0001677461,0.00001743879,0.0004517319,0.00002008002,0.00184152,0.04740174,0.004479462,0.9450563,0.00002865463],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01296182,0.161352,0.3477619,0.0269708,0.01717282,0.0004569272,0.006797007,0.02543918,0.4010876],"genre_scores_gemma":[0.1033083,0.1485917,0.24112,0.01432132,0.01071403,0.0006245471,0.01001165,0.006617151,0.4646914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05794809,"threshold_uncertainty_score":0.1938556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253588322965535,"score_gpt":0.2205305965451079,"score_spread":0.2079947133154526,"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."}}