{"id":"W4303649685","doi":"10.25674/so94iss1id178","title":"Global monitoring of soil animal communities using a common methodology","year":2022,"lang":"en","type":"article","venue":"Jyväskylä University Digital Archive (University of Jyväskylä)","topic":"Invertebrate Taxonomy and Ecology","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Université du Québec à Montréal","funders":"Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; National Natural Science Foundation of China; Deutsche Forschungsgemeinschaft; Conselho Nacional de Desenvolvimento Científico e Tecnológico; European Commission","keywords":"Environmental science; Environmental resource management","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":[0.008335968,0.0009338894,0.0008835395,0.005893683,0.001049395,0.002381523,0.0017892,0.001290336,0.001681368],"category_scores_gemma":[0.004827728,0.0004225703,0.001092901,0.00585655,0.001154492,0.002842896,0.005798833,0.001131798,0.001002362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007428614,"about_ca_system_score_gemma":0.001614672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004508269,"about_ca_topic_score_gemma":0.00781006,"domain_scores_codex":[0.9931601,0.00194943,0.0004530148,0.002300777,0.001821816,0.0003148229],"domain_scores_gemma":[0.9916378,0.0005592313,0.001865447,0.00311728,0.002212902,0.0006073665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003460819,0.0003228417,0.2831101,0.001169667,0.001143212,0.0004236505,0.002829303,0.009088885,0.09829547,0.01275114,0.01971009,0.5708095],"study_design_scores_gemma":[0.0001851985,0.001255008,0.5095286,0.001144637,0.0009822078,0.001295012,0.004148164,0.02334219,0.05901483,0.01956013,0.3791682,0.0003758803],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08785965,0.002475522,0.8694537,0.0008829605,0.0004480489,0.00212726,0.01381892,0.002941232,0.01999267],"genre_scores_gemma":[0.2015595,0.001560861,0.7715054,0.000954878,0.0002562679,0.00544438,0.01439416,0.0006309516,0.003693623],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008335968,"threshold_uncertainty_score":0.04408532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07134381494084241,"score_gpt":0.2153735691038779,"score_spread":0.1440297541630355,"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."}}