{"id":"W4302574189","doi":"","title":"Barcoding the base of Lepidoptera: exploring global diversity and evolution of the Micropterigidae","year":2010,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Lepidoptera genitalia; DNA barcoding; Diversity (politics); Computer science; Base (topology); Evolutionary biology; Artificial intelligence; Geography; Biology; Ecology; Mathematics; Anthropology; Sociology","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":[0.0004953957,0.0002876447,0.0005409915,0.002245035,0.0006260739,0.0009018557,0.0005394367,0.0007450787,0.002149542],"category_scores_gemma":[0.002145439,0.0002586922,0.0003013671,0.00265453,0.0004185526,0.0008751258,0.0007184069,0.0007972114,0.0007890746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003523266,"about_ca_system_score_gemma":0.0003357415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003232455,"about_ca_topic_score_gemma":0.006888004,"domain_scores_codex":[0.9997147,0.0000229771,0.00001147525,0.0001472446,0.00006985685,0.00003378149],"domain_scores_gemma":[0.9985541,0.0006269081,0.0004162578,0.0001200489,0.0001747573,0.0001079877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004334591,0.00005176062,0.1341461,0.0007567119,0.000217809,0.0006268321,0.004854081,0.002242367,0.5862496,0.002055842,0.002232715,0.2661327],"study_design_scores_gemma":[0.00003405154,0.0001946437,0.9127112,0.0003705282,0.0002622782,0.001886008,0.002042525,0.007726397,0.03167651,0.005063197,0.03795978,0.00007295799],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672883,0.004798504,0.01878668,0.0005623646,0.00009822583,0.00002633617,0.00511133,0.0001567529,0.003171532],"genre_scores_gemma":[0.9522435,0.00295448,0.03482206,0.0004280873,0.0001543911,0.00004523697,0.007276323,0.0001542397,0.001921744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003232455,"threshold_uncertainty_score":0.007190943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02053748727968794,"score_gpt":0.2116277530265794,"score_spread":0.1910902657468914,"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."}}