{"id":"W6950184381","doi":"10.5281/zenodo.5954365","title":"Euhampsonia niveiceps","year":2018,"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":"Fagaceae; Context (archaeology); Bark (sound); Identification (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":[0.00007381639,0.0003810592,0.0001623901,0.0008808375,0.0007494507,0.0002241177,0.0002320833,0.0002056806,0.005377379],"category_scores_gemma":[0.000199212,0.0001167237,0.00009751127,0.0004499588,0.0002334991,0.0004395606,0.000492806,0.0002299123,0.001702248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003964327,"about_ca_system_score_gemma":0.0002310795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0117513,"about_ca_topic_score_gemma":0.02648669,"domain_scores_codex":[0.9999191,0.00001037017,0.000007029282,0.00002516711,0.00002074222,0.00001762583],"domain_scores_gemma":[0.9999242,0.00001495858,0.00001739594,0.000007622107,0.000021786,0.00001400373],"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":[0.0009812682,0.0001987806,0.07369482,0.001810506,0.0001290249,0.008483257,0.002481821,0.001399989,0.1951307,0.008431983,0.03274348,0.6745144],"study_design_scores_gemma":[0.00006324136,0.0002293757,0.5613802,0.0004271262,0.0001290495,0.01178596,0.002271402,0.0007033831,0.01556817,0.002156784,0.4052343,0.00005111546],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6364577,0.02457919,0.00534814,0.000731846,0.0007689623,0.0002116742,0.004176978,0.0009049132,0.3268206],"genre_scores_gemma":[0.9738375,0.002635204,0.002417226,0.0003620478,0.00007719477,0.00003140557,0.0008779661,0.0000266781,0.01973471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0117513,"threshold_uncertainty_score":0.0233658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327802988414532,"score_gpt":0.2392337783325826,"score_spread":0.2159557484484373,"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."}}