{"id":"W6967664851","doi":"10.5281/zenodo.10571333","title":"Microsphecodes septentrionalis Graham & Packer 2024","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"dental development and anomalies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Pedicel; Holotype; Scape; Dorsum; Wing; Ovoid","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006203174,0.0002669865,0.0001320011,0.0006335114,0.0006700541,0.0001971121,0.0003105374,0.0003054692,0.01032242],"category_scores_gemma":[0.0001461197,0.0001189267,0.0001170647,0.0004002785,0.0002535417,0.000384993,0.0003683023,0.0002364907,0.002283932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002768592,"about_ca_system_score_gemma":0.0002390351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006962039,"about_ca_topic_score_gemma":0.01292202,"domain_scores_codex":[0.9999571,0.000004250013,0.000003670952,0.00001391648,0.00001109201,0.00000995041],"domain_scores_gemma":[0.9999136,0.00001680448,0.00003483209,0.000007580719,0.0000158008,0.00001141736],"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":[0.0005847501,0.0001649315,0.05894862,0.001111672,0.00006972338,0.009730057,0.002304583,0.001293221,0.1739541,0.007540596,0.03247765,0.7118201],"study_design_scores_gemma":[0.00008254394,0.0005029439,0.6378722,0.0002686092,0.00009280036,0.01172893,0.001139968,0.0008013342,0.01408113,0.001031635,0.3323601,0.00003784641],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7540884,0.005524615,0.003136315,0.000773859,0.0002870694,0.000199538,0.00334258,0.0004644228,0.2321833],"genre_scores_gemma":[0.9659693,0.001514277,0.002518169,0.0002847297,0.0001082784,0.00006704678,0.001190314,0.00001653603,0.02833134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01032242,"threshold_uncertainty_score":0.03453195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487949969044868,"score_gpt":0.2356460665117677,"score_spread":0.220766566821319,"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."}}