{"id":"W6969195183","doi":"10.5281/zenodo.7399790","title":"Ligyrus Burmeister 1847","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Apex (geometry); Galea; Maxilla; Mandible (arthropod mouthpart); Cusp (singularity); Scutellum","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":[0.0002208901,0.000756825,0.0004553847,0.001588375,0.001279391,0.0005697476,0.0008314244,0.000635468,0.01600255],"category_scores_gemma":[0.0006796622,0.0002368086,0.0002078167,0.0006843777,0.0007430721,0.001364679,0.0009371454,0.0008578431,0.005953109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006138456,"about_ca_system_score_gemma":0.0004136935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00485762,"about_ca_topic_score_gemma":0.006149663,"domain_scores_codex":[0.9996538,0.00003510346,0.0000215552,0.000110572,0.0001307141,0.00004816109],"domain_scores_gemma":[0.9998282,0.00002376358,0.0000726282,0.0000208315,0.00004052929,0.00001401839],"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":[0.0002036353,0.00006318592,0.01004776,0.0005699277,0.00004580114,0.0007033592,0.001465446,0.000447821,0.007623699,0.008346654,0.04119922,0.9292834],"study_design_scores_gemma":[0.00003629761,0.000200018,0.06835953,0.0005622219,0.0000907362,0.003779457,0.0003305077,0.0004863649,0.00142632,0.002072623,0.9226237,0.00003227594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1547298,0.1142789,0.01889704,0.002351569,0.004827069,0.0004963994,0.002381949,0.003166761,0.6988705],"genre_scores_gemma":[0.8620623,0.01409763,0.01067051,0.001568302,0.001580071,0.0001769147,0.002130927,0.0001628631,0.1075505],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01600255,"threshold_uncertainty_score":0.05353391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01873162470755424,"score_gpt":0.1962802541748031,"score_spread":0.1775486294672488,"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."}}