{"id":"W2343669482","doi":"10.1139/gen-2016-0005","title":"DNA barcoding the Lepidoptera inventory of a large complex tropical conserved wildland, Area de Conservacion Guanacaste, northwestern Costa Rica","year":2016,"lang":"en","type":"article","venue":"Genome","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"DNA barcoding; Biodiversity; Barcode; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008193873,0.0002549196,0.0001380479,0.001124081,0.00115549,0.0007031045,0.0005568953,0.0002531986,0.001007125],"category_scores_gemma":[0.001710453,0.00009311795,0.00007488157,0.001985823,0.0007844607,0.0003903417,0.0006327028,0.0004540797,0.0004709615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001491304,"about_ca_system_score_gemma":0.003481179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2572467,"about_ca_topic_score_gemma":0.5564473,"domain_scores_codex":[0.9995583,0.00006650281,0.00003812243,0.0000846611,0.000211911,0.00004057577],"domain_scores_gemma":[0.9990289,0.0001088381,0.0001978194,0.0000953378,0.0005089042,0.00006018835],"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":[0.00004102753,0.00002768263,0.1506045,0.00118264,0.00003444567,0.0007036356,0.01577639,0.0009877679,0.0389299,0.005894042,0.1382154,0.6476026],"study_design_scores_gemma":[0.000003955521,0.00002682254,0.3986307,0.0005286146,0.00002002177,0.0006833139,0.006138821,0.0007403035,0.003993118,0.0009495455,0.5882539,0.00003095956],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5796095,0.06967978,0.0626615,0.03499458,0.003144269,0.001393869,0.06727429,0.001792138,0.1794501],"genre_scores_gemma":[0.6043949,0.05268462,0.156664,0.008848523,0.001206764,0.001237101,0.04806121,0.0004359601,0.1264671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2572467,"threshold_uncertainty_score":0.5114988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02977265796812814,"score_gpt":0.244706768173561,"score_spread":0.2149341102054328,"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."}}