{"id":"W2507637404","doi":"","title":"Precipitation-Vegetation Interactions: Advances in Interception Loss, Thoughfall, and Stemflow Research II","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Stemflow; Interception; Precipitation; Vegetation (pathology); Environmental science; Meteorology; Throughfall; Geography; Ecology; Medicine","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":[0.001086706,0.0007400559,0.001073873,0.0007815838,0.0003056463,0.002135876,0.0006528312,0.0005650465,0.001326069],"category_scores_gemma":[0.001664819,0.0003821824,0.0007633239,0.001898773,0.0004280397,0.002178405,0.0008692597,0.00124945,0.0002563973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006225962,"about_ca_system_score_gemma":0.0007091509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009313915,"about_ca_topic_score_gemma":0.007292602,"domain_scores_codex":[0.9997092,0.00008265454,0.00001654158,0.0001047846,0.00005361211,0.00003314849],"domain_scores_gemma":[0.9994018,0.0003600844,0.00009544581,0.00004808883,0.00005593777,0.00003856933],"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":[0.0007688835,0.00050474,0.2661773,0.001359037,0.00127066,0.0002936824,0.0003508158,0.2501723,0.03079969,0.01782643,0.006240174,0.4242364],"study_design_scores_gemma":[0.00006830517,0.0003586209,0.3551604,0.0002228662,0.0004862276,0.0001798083,0.0002954626,0.5842753,0.01036106,0.02455539,0.02390618,0.0001303252],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8169511,0.1147099,0.04409334,0.00400363,0.0004556819,0.00004720166,0.001930946,0.0003352952,0.01747286],"genre_scores_gemma":[0.9494267,0.0363899,0.01005234,0.0001538767,0.0009107217,0.00002217013,0.000848544,0.0000807494,0.002114969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009313915,"threshold_uncertainty_score":0.0185194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08966204757399987,"score_gpt":0.3517703203212368,"score_spread":0.262108272747237,"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."}}