{"id":"W4384937327","doi":"10.1002/hyp.14945","title":"Quantifying rainfall and cloud water interception in upland forests of Norfolk Island","year":2023,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Norfolk General Hospital","funders":"Department of Infrastructure, Transport, Regional Development, Communications and the Arts, Australian Government; Commonwealth Scientific and Industrial Research Organisation","keywords":"Throughfall; Stemflow; Interception; Environmental science; Hydrology (agriculture); Cloud forest; Basal area; Canopy; Soil water; Forestry; Ecology; Geography; Geology; Soil science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001833845,0.00007230749,0.0001097352,0.00004479977,0.00003349408,0.00001296822,0.00007623494,0.00007114244,0.0001860411],"category_scores_gemma":[0.00003445208,0.00004425859,0.00001285693,0.0001797623,0.0001023337,0.00009752259,0.0001215302,0.00007578047,0.00008069374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001061094,"about_ca_system_score_gemma":0.000002062185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007217766,"about_ca_topic_score_gemma":0.002329,"domain_scores_codex":[0.9993848,0.00002051348,0.0001532438,0.0001725567,0.00009777561,0.0001711296],"domain_scores_gemma":[0.9998371,0.00004874095,0.00002660128,0.000055381,0.000003615082,0.00002854875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004351834,0.00003379642,0.975513,0.00005988115,0.000003200089,0.00001793769,0.0008464339,0.01750864,0.005325318,0.00002262563,0.00007383149,0.0005518249],"study_design_scores_gemma":[0.0009648065,0.0003121253,0.7883506,0.00007577782,0.00001791022,0.00004964353,0.00008458636,0.1956135,0.002047321,0.009871792,0.002250823,0.0003611082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984674,0.00001609973,0.0001266646,0.0001204754,0.00003264545,0.0000804034,0.000006058905,0.00003011584,0.001120146],"genre_scores_gemma":[0.9996698,0.00009895493,0.00003129735,0.00003276423,0.00001218736,0.000008483828,0.00003602293,0.000003829868,0.0001065811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1871624,"threshold_uncertainty_score":0.2037019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02380453999933927,"score_gpt":0.2436796506969637,"score_spread":0.2198751106976245,"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."}}