{"id":"W6982214170","doi":"","title":"History, Distribution, and Identification Of <i>Exoteleia dodecella </i>(L.) (Lepidoptera: Gelechiidae) in North America, With Insights into the Systematics of Exoteleia Wallengren using Characters of the Adult, Immatures, Bionomics, and DNA Barcodes","year":2010,"lang":"en","type":"article","venue":"Insecta mundi","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Museum of Natural History; Smithsonian Institution","keywords":"DNA barcoding; Identification (biology); Systematics; Key (lock); Pupa; Divergence (linguistics); DNA sequencing; Larva; Taxonomy (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0002750268,0.0001912801,0.0001065889,0.001394184,0.0009902758,0.0004310384,0.0003271065,0.0002996346,0.002403625],"category_scores_gemma":[0.0004274108,0.0001651122,0.00006747207,0.001139753,0.0008940762,0.0007669386,0.0004879462,0.0004646125,0.0007640619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006817316,"about_ca_system_score_gemma":0.0003346928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03919001,"about_ca_topic_score_gemma":0.09767776,"domain_scores_codex":[0.9998171,0.00001894931,0.00001696915,0.00006469589,0.00005528669,0.00002704096],"domain_scores_gemma":[0.9991887,0.0001046011,0.0003458124,0.00004465061,0.0002257339,0.00009057909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001617115,0.000086338,0.533164,0.000452203,0.00002865331,0.001919359,0.005381994,0.0001926973,0.02365288,0.0009464662,0.01544337,0.4185704],"study_design_scores_gemma":[0.000001371239,0.00006008648,0.9359658,0.00007645856,0.00001206271,0.002462049,0.00145761,0.00008254481,0.001153585,0.00009347025,0.05861944,0.00001552223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9015195,0.02342423,0.001560632,0.001613731,0.0000833804,0.00008361427,0.003458265,0.00007879466,0.06817774],"genre_scores_gemma":[0.974422,0.007427673,0.002214409,0.0004454385,0.00005583096,0.00002362073,0.001596727,0.00001584136,0.01379842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03919001,"threshold_uncertainty_score":0.07792377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716020531954923,"score_gpt":0.2752553687401653,"score_spread":0.2580951634206161,"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."}}