{"id":"W6910787993","doi":"10.5061/dryad.dd956","title":"Data from: Meiofauna affect the macrobenthic biodiversity-ecosystem functioning relationship","year":2014,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Meiobenthos; Benthic zone; Ecosystem; Trophic level; Species richness; Microcosm; Biodiversity; Context (archaeology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008078523,0.0003129853,0.0003386551,0.0008085253,0.0003771445,0.0008839951,0.0005434971,0.0005316905,0.06139881],"category_scores_gemma":[0.00310406,0.0001422847,0.0003662317,0.001141109,0.0001633793,0.0005231781,0.000984067,0.0005131329,0.0142239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000356379,"about_ca_system_score_gemma":0.0005055298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004361581,"about_ca_topic_score_gemma":0.008060844,"domain_scores_codex":[0.9993962,0.00008976676,0.0001004828,0.000144615,0.0002021951,0.00006681238],"domain_scores_gemma":[0.9971039,0.0008428477,0.0005429325,0.0003290347,0.0008803518,0.0003009973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005370485,0.0009390579,0.6683136,0.00198827,0.0005488541,0.000362474,0.001039699,0.0008671788,0.01855059,0.001060611,0.1526763,0.148283],"study_design_scores_gemma":[0.0001946026,0.000339562,0.8800982,0.0001659848,0.0001343093,0.0001101719,0.000365709,0.0004983494,0.003616749,0.0003704213,0.1140733,0.00003247118],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5083452,0.00111267,0.002363408,0.001754042,0.0004492342,0.0004098389,0.4364102,0.000795259,0.04836012],"genre_scores_gemma":[0.6288375,0.0009501493,0.005266987,0.001215752,0.000197251,0.001456165,0.3065595,0.0003178078,0.05519887],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.06139881,"threshold_uncertainty_score":0.2053995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05540567860463584,"score_gpt":0.2624178033830788,"score_spread":0.2070121247784429,"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."}}