{"id":"W4249448720","doi":"10.1111/1755-0998.12042","title":"Molecular approaches identify known species, reveal cryptic species and verify host specificity of Chinese <i>Philotrypesis</i> (Hymenoptera: Pteromalidae)","year":2013,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Research on scale insects","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum","funders":"Chinese Academy of Sciences; Natural Sciences and Engineering Research Council of Canada; Government of Canada; Ontario Genomics Institute; Genome Canada","keywords":"GenBank; Biology; DNA barcoding; Barcode; Pteromalidae; Table (database); Accession number (library science); Evolutionary biology; Genealogy; Genetics; Host (biology); Database; Computer science; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004048882,0.0003969576,0.0006369021,0.000080731,0.0002380706,0.0002605084,0.0007338129,0.0003087754,0.001214785],"category_scores_gemma":[0.0002495709,0.0001905009,0.0001995175,0.0005282183,0.0008099275,0.0002064599,0.0005259073,0.0003678153,0.0001199836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004711422,"about_ca_system_score_gemma":0.00001369957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002117262,"about_ca_topic_score_gemma":0.0001653722,"domain_scores_codex":[0.9969127,0.0004883116,0.0005597222,0.0007656241,0.0005582607,0.0007153385],"domain_scores_gemma":[0.9987019,0.0003327352,0.0002479753,0.0002741148,0.0001550846,0.0002881331],"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":[0.00005252246,0.0001775503,0.09214537,0.0000390138,0.00009390352,0.0001089074,0.0001827347,0.0000126604,0.9054189,0.000230036,0.0003757786,0.001162581],"study_design_scores_gemma":[0.0002918767,0.0006064246,0.941291,0.00002022263,0.00002428557,0.00003654906,0.000258364,0.00005943222,0.05020588,0.001025326,0.005833094,0.0003474914],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867972,0.001225358,0.00001094521,0.002120587,0.00009174025,0.0006912457,0.00003353431,0.0000677839,0.008961637],"genre_scores_gemma":[0.9982706,0.0001031673,0.0002141314,0.0003141161,0.00016986,0.00007725922,0.00003612145,0.000007187009,0.0008075481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.855213,"threshold_uncertainty_score":0.9996982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0248867310983236,"score_gpt":0.2262983284421808,"score_spread":0.2014115973438572,"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."}}