{"id":"W6912630210","doi":"10.5281/zenodo.5968109","title":"Hemaris aethra Schmidt 2018","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Entomological Studies and Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Voltinism; Apex (geometry); Margin (machine learning); Dorsum; Scaling; Variation (astronomy)","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003464045,0.00009308487,0.0001126082,0.00001554793,0.002870651,0.0002503691,0.0006018597,0.00007348233,0.07313232],"category_scores_gemma":[0.000319104,0.00004172036,0.00004557621,0.0003767112,0.0002761756,0.00008861853,0.001021072,0.0001287248,0.01956399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004880046,"about_ca_system_score_gemma":3.195856e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005550316,"about_ca_topic_score_gemma":0.000007195574,"domain_scores_codex":[0.9988733,0.0001434061,0.0001457978,0.0003096047,0.0001627174,0.0003651891],"domain_scores_gemma":[0.9994363,0.00003532188,0.0000534502,0.00008565631,0.0002658814,0.0001234057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006289958,0.0001786586,0.00009885678,0.00000755063,0.00003231104,0.000009379645,0.0002356943,8.05466e-7,0.03298461,0.003423898,0.5259711,0.4369943],"study_design_scores_gemma":[0.0001017887,0.0007553424,0.01619705,0.000004255419,0.000004074113,0.00002331453,0.000182914,0.00001996431,0.0004436586,0.0004794337,0.9816821,0.0001060895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6837652,0.000114691,0.00009025486,0.005310477,0.000206898,0.0002960237,0.00008539533,0.0007915073,0.3093395],"genre_scores_gemma":[0.9967149,0.0000965969,0.00008365323,0.0005634823,0.0005670426,3.181209e-8,0.0003337461,0.00003630321,0.001604241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.455711,"threshold_uncertainty_score":0.9984275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04990161310074219,"score_gpt":0.2359569994091435,"score_spread":0.1860553863084013,"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."}}