{"id":"W7090242225","doi":"10.5281/zenodo.17343945","title":"Notocelia rosaecolana","year":2025,"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":"Central asia; Soviet union; Period (music); Western europe; Southeast asia","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":[0.0001249308,0.0008025821,0.000447146,0.002248327,0.001760175,0.0006361394,0.0005403681,0.0003793887,0.002961297],"category_scores_gemma":[0.0002604808,0.000195417,0.0002299834,0.0009864898,0.0007327659,0.0006621141,0.000665059,0.0005724762,0.001002018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113724,"about_ca_system_score_gemma":0.0005079323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02592268,"about_ca_topic_score_gemma":0.05570878,"domain_scores_codex":[0.9998447,0.00001070914,0.00001351034,0.00007417257,0.0000292717,0.00002761442],"domain_scores_gemma":[0.9998617,0.00001189894,0.00004665908,0.00001911861,0.00004114136,0.00001954452],"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":[0.001300999,0.0002546776,0.2549647,0.001097519,0.0002369182,0.005436878,0.007946136,0.0009961608,0.1827155,0.00543672,0.00891343,0.5307004],"study_design_scores_gemma":[0.00006178275,0.0001497715,0.8009151,0.000237063,0.0001376473,0.00479147,0.002027514,0.0002026814,0.002203926,0.0004733952,0.1887545,0.00004519162],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8835297,0.024004,0.001230796,0.0003655024,0.0007005286,0.000165234,0.001509749,0.0001986988,0.08829576],"genre_scores_gemma":[0.9775598,0.005832523,0.001764576,0.0002351031,0.0001219639,0.00007452657,0.002340315,0.000020624,0.0120505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02592268,"threshold_uncertainty_score":0.05154359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01794587244575237,"score_gpt":0.2398554009076927,"score_spread":0.2219095284619403,"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."}}