{"id":"W6968731960","doi":"10.5281/zenodo.5032401","title":"Bohemannia auriciliella","year":2020,"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":"Distribution (mathematics); Larva; Common species; Taxon","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":[0.0001228272,0.0003516486,0.0002517584,0.0008988634,0.0007742171,0.0004257525,0.0003624828,0.0003194986,0.01036187],"category_scores_gemma":[0.0002495995,0.0001300842,0.0001343772,0.0003900029,0.0004900591,0.0006099173,0.0007392126,0.0004006892,0.00269754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004141604,"about_ca_system_score_gemma":0.0001733359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004922366,"about_ca_topic_score_gemma":0.006810708,"domain_scores_codex":[0.9998324,0.0000204205,0.00001486387,0.0000562867,0.00005124665,0.00002476397],"domain_scores_gemma":[0.9998783,0.00002395007,0.00004525772,0.0000138999,0.00002544769,0.00001315201],"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":[0.0007250229,0.0001754289,0.08935791,0.003324741,0.00009375418,0.005796398,0.004792241,0.0007768652,0.07792791,0.004135629,0.0210263,0.7918678],"study_design_scores_gemma":[0.00004221253,0.0002599717,0.5300419,0.001055137,0.0001114192,0.01265229,0.002346497,0.0005626465,0.006950789,0.002426461,0.4434957,0.00005509329],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.592885,0.05288126,0.006871527,0.001223617,0.0006272407,0.0003037034,0.005830805,0.001134296,0.3382425],"genre_scores_gemma":[0.9798466,0.003867811,0.002272174,0.0004311806,0.0001625979,0.0000420153,0.001116165,0.00002255829,0.01223894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01036187,"threshold_uncertainty_score":0.03466392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03126174024034624,"score_gpt":0.2297649488345702,"score_spread":0.1985032085942239,"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."}}