{"id":"W6968161826","doi":"10.5281/zenodo.15693537","title":"Cotalpa Burmeister","year":2002,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mandible (arthropod mouthpart); French horn; Apex (geometry); Key (lock); Margin (machine learning)","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":[0.0001269114,0.001329088,0.0005090723,0.002203636,0.003232412,0.0009219161,0.001036116,0.0006881072,0.04244752],"category_scores_gemma":[0.0004699306,0.000376099,0.0001746121,0.001328971,0.001072129,0.001377214,0.001457665,0.001283535,0.008806758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009066607,"about_ca_system_score_gemma":0.0008781261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02544452,"about_ca_topic_score_gemma":0.06828212,"domain_scores_codex":[0.9997831,0.000016202,0.00001533106,0.0001028637,0.00005645994,0.00002594888],"domain_scores_gemma":[0.9997013,0.00003612338,0.00008157688,0.00002776276,0.00007928509,0.00007386111],"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":[0.0006763081,0.0002445483,0.02617631,0.002353183,0.00008083883,0.005849859,0.006104876,0.0004006718,0.03595218,0.01557613,0.1141263,0.7924588],"study_design_scores_gemma":[0.00004491967,0.0001908761,0.07140458,0.0005452051,0.00006526605,0.005589968,0.001923432,0.0002100923,0.001348444,0.001207932,0.9174317,0.00003768148],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.135904,0.05329508,0.00571963,0.002329458,0.003739911,0.001095395,0.008170816,0.001596663,0.7881492],"genre_scores_gemma":[0.8454881,0.01679078,0.01065323,0.001782112,0.001157896,0.0003665506,0.003763721,0.0002367456,0.1197608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04244752,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1062433256193941,"score_gpt":0.2746781530407156,"score_spread":0.1684348274213215,"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."}}