{"id":"W2922603812","doi":"10.11646/zootaxa.3148.1.41","title":"Order Lepidoptera Linnaeus, 1758. In: Zhang, Z.-Q. (Ed.) Animal biodiversity: An outline of higher-level classification and survey of taxonomic richness","year":2011,"lang":"en","type":"article","venue":"Zootaxa","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":594,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency; Agriculture and Agri-Food Canada","funders":"Institut National de la Recherche Agronomique; Ministerio de Ciencia e Innovación; Belgian Federal Science Policy Office","keywords":"Biology; Lepidoptera genitalia; Zhàng; Species richness; Biodiversity; Ecology; Zoology; Archaeology; China; History","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":[0.0001407016,0.0009222074,0.0004402322,0.002514051,0.000559693,0.0005720466,0.0006716035,0.0002657264,0.01260009],"category_scores_gemma":[0.0001738104,0.000259878,0.0002289614,0.002024437,0.0004904537,0.001296226,0.0005155897,0.0003704258,0.002801051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005297564,"about_ca_system_score_gemma":0.0004435008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01111,"about_ca_topic_score_gemma":0.0369848,"domain_scores_codex":[0.9999261,0.000008611638,0.00001287012,0.00001745799,0.00002410961,0.00001086397],"domain_scores_gemma":[0.9999443,0.000009499726,0.00001929998,0.000002649374,0.00001412909,0.00001006417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001366143,0.00003400671,0.01131157,0.001990678,0.00006677274,0.000370684,0.001210668,0.0003574758,0.006709026,0.004750129,0.06588435,0.9071779],"study_design_scores_gemma":[0.00001189894,0.00008734675,0.08023851,0.0006022824,0.00005240068,0.001843798,0.0006752083,0.0002562164,0.0008492635,0.003564565,0.9117993,0.00001921656],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03182197,0.8703064,0.007881079,0.002328415,0.002974346,0.0001779997,0.006890943,0.000625686,0.07699304],"genre_scores_gemma":[0.258649,0.5044568,0.04445196,0.001584542,0.00273472,0.0003279801,0.008993411,0.0001548714,0.1786467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01260009,"threshold_uncertainty_score":0.04215151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07766055519424596,"score_gpt":0.2628260142911827,"score_spread":0.1851654590969367,"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."}}