{"id":"W2150396274","doi":"10.1093/aob/mcs241","title":"Using the biomass-ratio and idiosyncratic hypotheses to predict mixed-species litter decomposition","year":2012,"lang":"en","type":"article","venue":"Annals of Botany","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Biology; Biomass (ecology); Decomposition; Litter; Ecology","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":[0.0002187182,0.00007365847,0.00009576421,0.00002170633,0.0001579036,0.00002441231,0.0001130718,0.00003578544,0.000844561],"category_scores_gemma":[0.00001961845,0.00005419906,0.00002955232,0.00009226902,0.0001890688,0.0003184114,0.0001623927,0.00003377435,0.0001612719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001493397,"about_ca_system_score_gemma":0.000002379998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000143581,"about_ca_topic_score_gemma":0.0001920404,"domain_scores_codex":[0.9993815,0.00006000878,0.0001133215,0.0001056142,0.0001157461,0.0002238172],"domain_scores_gemma":[0.9996995,0.0000474368,0.00004321981,0.0001223736,0.000008063734,0.00007940218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004940244,0.0001186904,0.5201374,0.00001648238,0.00004619126,0.000003262159,0.002356569,0.0001417132,0.4350498,0.0002275965,0.04115351,0.0006993014],"study_design_scores_gemma":[0.0001247307,0.0001773533,0.7922712,0.00001745268,0.0000283735,0.00001907337,0.0004536207,0.001566003,0.1933236,0.0006405156,0.01121017,0.0001679042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962877,0.0001241691,0.0004188926,0.001748333,0.0001037107,0.0001081393,0.00001295838,0.000009225616,0.001186877],"genre_scores_gemma":[0.9976799,0.00001888711,0.00042921,0.001619481,0.00004050149,0.000002088518,8.982999e-7,0.000004267186,0.0002047961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2721337,"threshold_uncertainty_score":0.924735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07323144135022137,"score_gpt":0.2826431470765213,"score_spread":0.2094117057262999,"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."}}