{"id":"W3087235044","doi":"10.1002/ecy.3196","title":"Causal hypotheses accounting for correlations between decomposition rates of different mass fractions of leaf litter","year":2020,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hemicellulose; Lignin; Decomposition; Cellulose; Fraction (chemistry); Litter; Biology; Ecology; Botany; Chemistry; Organic chemistry; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006104036,0.00005950751,0.0001666287,0.00002211748,0.0001237463,0.000002294454,0.00006452268,0.00006663647,0.0004603743],"category_scores_gemma":[0.0001328108,0.000056246,0.00004359201,0.00006518522,0.0001429074,0.0000739534,0.00004654121,0.00006417553,0.00003562049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002952073,"about_ca_system_score_gemma":0.000005325055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001044028,"about_ca_topic_score_gemma":0.0002316229,"domain_scores_codex":[0.9994786,0.00003799683,0.0002145039,0.0001208688,0.00004065744,0.0001073318],"domain_scores_gemma":[0.9989654,0.000789476,0.0001562147,0.00004947709,0.0000170664,0.00002232612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001057458,0.00003499441,0.9926336,0.00001164898,0.00003675193,1.287986e-7,0.000317883,0.001529045,0.004656553,0.0003592959,0.000302489,0.0001070636],"study_design_scores_gemma":[0.0002025008,0.0001558987,0.9902468,0.000002295209,0.0000439915,2.88338e-7,0.0001084751,0.004799254,0.001553651,0.002717954,0.0001193727,0.00004948893],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827014,0.000006368913,0.01406774,0.002076467,0.0001025035,0.0001782894,0.00002715575,0.00001065835,0.0008294022],"genre_scores_gemma":[0.9980471,0.000005351534,0.001584382,0.0001918785,0.00003673066,0.00003422134,0.00002263612,0.000005071527,0.00007264611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01534567,"threshold_uncertainty_score":0.5040776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02736321800757609,"score_gpt":0.2871203310885002,"score_spread":0.2597571130809241,"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."}}