{"id":"W3113533444","doi":"10.22541/au.158498009.97703828","title":"Fog induced suppressed photosynthetic water demand and foliar water uptake help the tropical cloud forest escape from drought stress","year":2020,"lang":"en","type":"dataset","venue":"Authorea","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ecosystem; Climate change; Cloud forest; Epiphyte; Environmental science; Context (archaeology); Tropics; Tropical climate; Photosynthesis; Forest ecology; Tropical forest; Ecology; Agroforestry; Geography; Biology; Botany","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001256892,0.0004524772,0.0004200953,0.00003530644,0.0002649262,0.0002003447,0.00069097,0.0004731279,0.001223548],"category_scores_gemma":[0.00001622924,0.0002296178,0.0001225674,0.00006608289,0.0002235261,0.000122689,0.0007759448,0.0006584421,0.001139712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005694994,"about_ca_system_score_gemma":0.000008051209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001765921,"about_ca_topic_score_gemma":0.002093527,"domain_scores_codex":[0.9976878,0.000169404,0.0004072298,0.0007159799,0.0004553471,0.0005641973],"domain_scores_gemma":[0.998936,0.00008246927,0.00007866036,0.0006841453,0.000006115791,0.0002126132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001428289,0.000176153,0.003354932,0.00006227437,0.000238405,0.000261765,0.001366567,0.0004318789,0.007799865,0.0000338135,0.98567,0.0004615588],"study_design_scores_gemma":[0.0005989791,0.0001019744,0.005898425,0.00006155458,0.000420654,0.00003409066,0.00004136724,0.005881962,0.007563827,0.002084027,0.9766383,0.0006748374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.4084404,0.00002096008,0.00003791517,0.0007735263,0.0003498338,0.0003742189,0.5898826,0.00003047351,0.0000901813],"genre_scores_gemma":[0.3412327,0.0001007601,0.00003660376,0.0002301073,0.0002081735,0.00005893133,0.6579255,0.00003507621,0.0001721442],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06804297,"threshold_uncertainty_score":0.9996895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009791337895867532,"score_gpt":0.2007510703076194,"score_spread":0.1909597324117518,"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."}}