{"id":"W2791751458","doi":"10.1007/s00442-018-4123-5","title":"Simulated drought regimes reveal community resilience and hydrological thresholds for altered decomposition","year":2018,"lang":"en","type":"article","venue":"Oecologia","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia; University of British Columbia","funders":"Centre d'étude de la biodiversité amazonienne; Centre National de la Recherche Scientifique; Agence Nationale de la Recherche","keywords":"Litter; Ecosystem; Decomposition; Plant litter; Dry weight; Precipitation; Environmental science; Ecology; Environmental chemistry; Animal science; Biology; Chemistry; Agronomy; Geography","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":[],"category_scores_codex":[0.0003389337,0.0001010341,0.0001206759,0.00001212642,0.0005397132,0.00003282495,0.000197588,0.0001200608,0.008184047],"category_scores_gemma":[0.0001091252,0.00008418241,0.0000311153,0.0001054489,0.0006126926,0.0001095224,0.0002188686,0.0001226457,0.0002338612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001717257,"about_ca_system_score_gemma":0.000003406251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006099688,"about_ca_topic_score_gemma":0.0002660501,"domain_scores_codex":[0.999199,0.0001049483,0.0001395861,0.0002070574,0.00009326353,0.0002561903],"domain_scores_gemma":[0.9994636,0.0001742467,0.00006203863,0.0002091715,0.00001626149,0.00007470713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001206197,0.001240543,0.537197,0.00005215772,0.00004749525,0.00001377495,0.001411099,0.0002017892,0.1352133,0.005114076,0.3119889,0.006313734],"study_design_scores_gemma":[0.00084169,0.001328778,0.9641383,0.000006366407,0.00001737026,0.00001914408,0.0003885025,0.002080173,0.005181986,0.00241965,0.02334354,0.0002344495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795179,0.00001200618,0.0001696658,0.0006786768,0.0001095992,0.0002522799,0.0000341138,0.00006919304,0.01915661],"genre_scores_gemma":[0.9980448,0.00001170314,0.0002820045,0.001092957,0.00003700018,0.00001780442,0.00006412758,0.000004981915,0.0004445639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4269414,"threshold_uncertainty_score":0.9927226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03403482415050482,"score_gpt":0.309879582665809,"score_spread":0.2758447585153042,"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."}}