{"id":"W6950297274","doi":"10.5281/zenodo.4920953","title":"Elachista maritimella McDunnough 1942","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Larva; Host (biology); Type (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":[0.0001219554,0.0004818075,0.0001746574,0.001309976,0.001891185,0.0004890148,0.0005457469,0.0004810581,0.01938436],"category_scores_gemma":[0.0002761471,0.0002188739,0.0001112282,0.001053582,0.0006252206,0.0004738263,0.0008288579,0.0003520831,0.005440506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00142965,"about_ca_system_score_gemma":0.0009178345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1190832,"about_ca_topic_score_gemma":0.2850927,"domain_scores_codex":[0.9998852,0.000007257345,0.000007136059,0.00002938975,0.00004050193,0.00003047715],"domain_scores_gemma":[0.9998507,0.00001174815,0.0000468398,0.00001258708,0.00005876529,0.00001924496],"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":[0.0002620184,0.00006239003,0.0808351,0.0004363467,0.00003247014,0.001733777,0.001588656,0.0003806726,0.01351865,0.004306775,0.09970732,0.7971358],"study_design_scores_gemma":[0.0000304887,0.00004642494,0.1756877,0.0003545584,0.00002627463,0.001153657,0.0009671166,0.0001341354,0.001488075,0.0004528876,0.8196433,0.00001540557],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2512118,0.03618577,0.003137331,0.002878774,0.001316787,0.0003958824,0.004286279,0.0007226763,0.6998648],"genre_scores_gemma":[0.7895632,0.009316249,0.003658167,0.001433007,0.0003213156,0.00009899071,0.001457528,0.00006321831,0.1940884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1190832,"threshold_uncertainty_score":0.2367802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015287097614126,"score_gpt":0.2188263360649822,"score_spread":0.2035392384508562,"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."}}