{"id":"W1923351681","doi":"10.1002/hyp.9332","title":"An empirical method for approximating canopy throughfall","year":2012,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Throughfall; Canopy; Environmental science; Hydrology (agriculture); Meteorology; Atmospheric sciences; Geography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001096207,0.0005647644,0.0004951688,0.001337072,0.0003172755,0.0007486252,0.001052943,0.0007959077,0.002691811],"category_scores_gemma":[0.007353926,0.0003238718,0.0005509962,0.001023821,0.000362262,0.001142281,0.0005245981,0.0009018179,0.001116987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000548635,"about_ca_system_score_gemma":0.0007409073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005547491,"about_ca_topic_score_gemma":0.004390925,"domain_scores_codex":[0.9995184,0.0001231482,0.0000401241,0.0001210031,0.0001639656,0.00003330185],"domain_scores_gemma":[0.9984632,0.0007373598,0.0002074474,0.0001966057,0.0003650641,0.00003039604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000962052,0.0001049089,0.01156865,0.0002213687,0.00008954192,0.0002268902,0.0003115099,0.5846784,0.01633326,0.01628036,0.0024648,0.3676242],"study_design_scores_gemma":[0.000003797374,0.00001513648,0.001249975,0.00001668305,0.000005468062,0.00007566814,0.00002014941,0.9927987,0.001529319,0.001857611,0.00241591,0.00001159475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01751722,0.0001205068,0.9806655,0.00002807082,0.00002514875,0.00004505392,0.0001048359,0.0005641031,0.0009294458],"genre_scores_gemma":[0.3540866,0.0003864925,0.6418883,0.00005236516,0.00004391062,0.0002475892,0.0004714579,0.0003124767,0.002510753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005547491,"threshold_uncertainty_score":0.01103044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03534209477484116,"score_gpt":0.3228190245298005,"score_spread":0.2874769297549594,"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."}}