{"id":"W4408320891","doi":"10.1111/ecog.07697","title":"Dissecting earthworm diversity in tropical rainforests","year":2025,"lang":"en","type":"article","venue":"Ecography","topic":"Invertebrate Taxonomy and Ecology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Muséum National d'Histoire Naturelle; Centre National de la Recherche Scientifique; Fondation pour la Recherche sur la Biodiversite; Canada First Research Excellence Fund; Agence Nationale de la Recherche","keywords":"Rainforest; Ecology; Tropical rainforest; Earthworm; Geography; Diversity (politics); Tropical rain forest; Tropical forest; Agroforestry; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004528387,0.0002201586,0.0002282421,0.002984132,0.0004042188,0.0006372505,0.0001983903,0.00027298,0.0006164059],"category_scores_gemma":[0.0009942813,0.0001114489,0.000244828,0.001166513,0.0005243956,0.00033132,0.0005318302,0.0001547513,0.00008072564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004804495,"about_ca_system_score_gemma":0.0002036723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03468022,"about_ca_topic_score_gemma":0.07152787,"domain_scores_codex":[0.9996417,0.0000795669,0.00002031499,0.0001008578,0.00005793061,0.00009975558],"domain_scores_gemma":[0.9992408,0.0002194129,0.000251656,0.00004961936,0.00009938936,0.0001392037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007103543,0.000008015476,0.9796358,0.00004373871,0.00007437969,0.00009600969,0.001092201,0.0002119125,0.01208455,0.00005958638,0.00005442944,0.006568275],"study_design_scores_gemma":[4.719226e-7,0.000009499116,0.9995969,0.000002089688,0.000004442035,0.00002263901,0.0001676566,0.00006846138,0.00006516122,0.000008145677,0.00005326938,0.000001312752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999374,0.0001665233,0.000136023,0.000009458943,5.126249e-7,0.000002864429,0.0001101161,0.000004724182,0.0001958169],"genre_scores_gemma":[0.9994498,0.00007253323,0.0001999392,0.000009281279,0.00000162553,0.000003400882,0.0002099894,0.000001028811,0.00005226381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03468022,"threshold_uncertainty_score":0.06895673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572120096288582,"score_gpt":0.2016743054673819,"score_spread":0.1859531045044961,"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."}}