{"id":"W4403854204","doi":"10.1071/fp24150","title":"Linking structure to function: the connection between mesophyll structure and intrinsic water use efficiency","year":2024,"lang":"en","type":"article","venue":"Functional Plant Biology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biopterre","funders":"Division of Civil, Mechanical and Manufacturing Innovation","keywords":"Plant biology; Biology; Function (biology); Adaptation (eye); Acclimatization; Ecophysiology; Workflow; Biological system; Structure function; Neuroscience; Computer science; Ecology; Botany; Photosynthesis; Evolutionary biology","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":[0.0007311674,0.00037361,0.0002455202,0.0007551915,0.0002483736,0.001210342,0.0002927378,0.0006426129,0.001223883],"category_scores_gemma":[0.002359683,0.0002740314,0.0002463989,0.0005034493,0.001040133,0.002068208,0.0008098446,0.0008134131,0.0002454549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003726121,"about_ca_system_score_gemma":0.0002708301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00146777,"about_ca_topic_score_gemma":0.001598499,"domain_scores_codex":[0.9997938,0.00004494191,0.00001198086,0.00007767924,0.00004136486,0.00003014812],"domain_scores_gemma":[0.9988417,0.0004322102,0.0002823254,0.0001402255,0.0001454343,0.000158236],"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":[0.000276362,0.0001781006,0.3827905,0.0007873854,0.0004364102,0.0003278776,0.001373324,0.02171553,0.4364561,0.01605022,0.001572945,0.1380351],"study_design_scores_gemma":[0.00000463963,0.000136446,0.9406936,0.00004555113,0.00006632582,0.0002547997,0.0002218085,0.02408279,0.01343514,0.01936153,0.001634503,0.00006287249],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9118759,0.004872221,0.07524755,0.0009968347,0.00006898162,0.00003105668,0.0004306453,0.0002502306,0.006226561],"genre_scores_gemma":[0.9936783,0.0006460868,0.00504739,0.0001025749,0.00002906654,0.00001225406,0.0001166523,0.00003106835,0.000336694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00146777,"threshold_uncertainty_score":0.004094303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016354081002425,"score_gpt":0.1911547117375138,"score_spread":0.1809911709274895,"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."}}