{"id":"W269235668","doi":"10.1023/a:1017546821591","title":"Setting minimum head capsule abundance and taxa deletion criteria in chironomid-based inference models","year":2001,"lang":"en","type":"article","venue":"Journal of Paleolimnology","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":305,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Subfossil; Inference; Taxon; Abundance (ecology); Hypolimnion; Statistics; Ecology; Paleolimnology; Biology; Mathematics; Computer science; Climate change; Artificial intelligence; Eutrophication; Paleontology; Nutrient","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":[0.02676205,0.001071005,0.002765387,0.002523793,0.001448762,0.002052955,0.005941717,0.004427245,0.002740323],"category_scores_gemma":[0.1249457,0.001992994,0.001280119,0.00140086,0.001650265,0.005475497,0.0038671,0.003265494,0.000454994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001398989,"about_ca_system_score_gemma":0.003179349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006380262,"about_ca_topic_score_gemma":0.008609026,"domain_scores_codex":[0.9907742,0.00629421,0.000747868,0.0009936596,0.0007692729,0.0004207432],"domain_scores_gemma":[0.8588394,0.1301517,0.003118294,0.003069464,0.00364538,0.001175746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001345163,0.0002832394,0.01575018,0.0002133091,0.0002548738,0.0001985042,0.0002467656,0.8532011,0.001693573,0.01385409,0.00184239,0.1111168],"study_design_scores_gemma":[0.00006080179,0.00003096683,0.0004785224,0.00001832554,0.00002421298,0.00001609803,0.0000216545,0.986939,0.0008785888,0.01138583,0.0001346117,0.00001148727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09190699,0.0002464057,0.9048352,0.0006914278,0.00004365318,0.0001553821,0.0004568616,0.0008454739,0.0008185944],"genre_scores_gemma":[0.5908764,0.00009398675,0.4058453,0.000315379,0.00008840107,0.0003859531,0.001151956,0.0002920959,0.0009504759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02676205,"threshold_uncertainty_score":0.141533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03435171526778915,"score_gpt":0.2983795830216762,"score_spread":0.2640278677538871,"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."}}