{"id":"W4409040061","doi":"10.1016/j.aac.2025.03.007","title":"Sustainable extraction of personalized plant nano-stimulants from conspecific donor plants to induce mirror biostimulant activity in identical host plants","year":2025,"lang":"en","type":"article","venue":"Advanced Agrochem","topic":"Plant Growth Enhancement Techniques","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; St. Boniface Hospital","funders":"Deutsche Forschungsgemeinschaft","keywords":"Host (biology); Extraction (chemistry); Nano-; Biology; Botany; Chemistry; Ecology; Engineering; Chemical engineering; Chromatography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002192003,0.0002896675,0.0004982177,0.0001014884,0.0001245349,0.00004124434,0.0003793961,0.0002002381,0.0001085129],"category_scores_gemma":[0.0001624848,0.0001551084,0.00007866438,0.0004554559,0.0000729821,0.0003078028,0.0001589483,0.0002293797,0.00002270742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001635825,"about_ca_system_score_gemma":0.00003195809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001438222,"about_ca_topic_score_gemma":0.001259896,"domain_scores_codex":[0.997954,0.00008591809,0.0004529105,0.000611647,0.0003189268,0.0005766649],"domain_scores_gemma":[0.998762,0.0007293072,0.0001846642,0.0001263855,0.00007037045,0.0001273502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00115446,0.0002963149,0.005248285,0.0000285033,0.00002452183,0.00007609473,0.0001042103,0.000002685918,0.9891061,0.0002241718,0.0002794971,0.003455162],"study_design_scores_gemma":[0.0006387082,0.0001432807,0.163135,0.0003583679,0.00001107288,0.000006123446,0.0007534256,0.00005461544,0.8312619,0.0005366963,0.002815358,0.000285434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969311,0.0001590189,0.0001314592,0.0003833154,0.0001566088,0.000764903,0.0008282267,0.0001315877,0.0005137442],"genre_scores_gemma":[0.9978684,0.0002042778,0.0006662948,0.0001531746,0.00003139125,0.00008031933,0.0003493363,0.000002476779,0.0006443138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1578867,"threshold_uncertainty_score":0.6325139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02026171649626769,"score_gpt":0.2760764713969563,"score_spread":0.2558147549006886,"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."}}