{"id":"W4417117080","doi":"10.64898/2025.12.03.692091","title":"Electrophysiological monitoring of plants: an exploratory study on drought stress","year":2025,"lang":"","type":"article","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Viventia Bio (Canada)","funders":"","keywords":"Skewness; Drought stress; Statistical analysis; Statistical model; Variance (accounting); Percentile; Agriculture; Mean squared error","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003635369,0.0002722735,0.0003537905,0.0002672694,0.000335463,0.000219749,0.000177968,0.0003600547,0.0004958778],"category_scores_gemma":[0.0004266849,0.00008716363,0.0002022916,0.0002087282,0.0002512658,0.0002842135,0.0002679244,0.0003113363,0.0001622185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001473007,"about_ca_system_score_gemma":0.00009754085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006999326,"about_ca_topic_score_gemma":0.001243,"domain_scores_codex":[0.9999107,0.00002411589,0.000004679262,0.00003279461,0.0000138383,0.000013874],"domain_scores_gemma":[0.9997258,0.000104273,0.00003281312,0.00002219364,0.0000633824,0.00005157505],"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":[0.0009590599,0.001479154,0.1273051,0.0002633373,0.00008783634,0.001901911,0.002812094,0.00136269,0.8338241,0.0001065248,0.0002494529,0.02964868],"study_design_scores_gemma":[0.00004381473,0.007861766,0.9377689,0.00002058981,0.00006424031,0.001293176,0.002576588,0.005460322,0.04330988,0.0002537886,0.001305303,0.00004164162],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998915,0.00002511788,0.0008192401,0.000008969628,0.00000149526,0.00002734749,0.00007158706,0.000005968943,0.0001252644],"genre_scores_gemma":[0.9976895,0.00005730515,0.001706949,0.00002884772,0.000004286283,0.00004676173,0.0001765532,0.000003844401,0.0002859165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006999326,"threshold_uncertainty_score":0.001922607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02260473184839537,"score_gpt":0.2325481428058184,"score_spread":0.2099434109574231,"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."}}