{"id":"W2074001497","doi":"10.1007/s10750-007-0778-3","title":"Limited evidence that mixing leaf litter accelerates decomposition or increases diversity of decomposers in streams of eastern Canada","year":2007,"lang":"en","type":"article","venue":"Hydrobiologia","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"Natural Sciences and Engineering Research Council of Canada; St. Francis Xavier University","keywords":"Decomposer; Plant litter; Litter; Species richness; Biology; Invertebrate; Ecology; Hydrobiology; Benthic zone; Species diversity; Abundance (ecology); Detritivore; Hyphomycetes; Metacommunity; Botany; Nutrient; Ecosystem","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006505173,0.0002109199,0.0002776402,0.0006023627,0.001159621,0.001224665,0.0005602292,0.0004433903,0.001768604],"category_scores_gemma":[0.002953111,0.0002080427,0.0002484036,0.0005773451,0.0007043257,0.0003038406,0.0004045565,0.0003176853,0.0000933817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004280064,"about_ca_system_score_gemma":0.006880121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8677766,"about_ca_topic_score_gemma":0.963764,"domain_scores_codex":[0.9996295,0.00004496779,0.00002374294,0.00008712521,0.0001033879,0.0001112404],"domain_scores_gemma":[0.9967439,0.0005863274,0.0008971421,0.0001277067,0.0008691071,0.00077589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003789307,0.00002791166,0.9915875,0.00004818597,0.000117067,0.0000646038,0.0003510992,0.00008613318,0.002432425,0.00004702008,0.0001602884,0.004698843],"study_design_scores_gemma":[0.00000351936,0.00001222758,0.9993599,0.000009332826,0.00002861144,0.00001631774,0.0002213179,0.00006014339,0.0001115788,0.00001457146,0.0001607755,0.000001696297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987726,0.0004816167,0.00003072754,0.00006496075,0.000004286044,0.000002521767,0.00009837587,0.000002839131,0.0005420964],"genre_scores_gemma":[0.999141,0.0002568154,0.00007128249,0.00004499148,0.000004436949,0.000001469583,0.00009270252,0.000001895824,0.0003854083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1322234,"threshold_uncertainty_score":0.2660042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03787222442639009,"score_gpt":0.2415505810203732,"score_spread":0.2036783565939831,"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."}}