{"id":"W6893172077","doi":"10.5281/zenodo.14247900","title":"Metamynodontini Kretzoi 1942","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Synapomorphy; Vomer; Clade; Maxilla; Commissure","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":[0.00005841987,0.0003049922,0.0002174362,0.001001386,0.001055582,0.000422961,0.0004054288,0.0002878025,0.01024168],"category_scores_gemma":[0.0001405518,0.0002157445,0.000164085,0.0005175849,0.0004051356,0.0004144864,0.000915407,0.0003733574,0.003779419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005929171,"about_ca_system_score_gemma":0.0003137872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009174558,"about_ca_topic_score_gemma":0.01987494,"domain_scores_codex":[0.9998962,0.000004873106,0.00000674773,0.00003871462,0.00002959004,0.00002389458],"domain_scores_gemma":[0.9999704,0.000002333528,0.00001372598,0.000004146647,0.000006135469,0.000003345406],"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":[0.0004012776,0.00008659166,0.07214762,0.0007322337,0.0000676577,0.002605901,0.004221499,0.0005763244,0.1377194,0.01563864,0.01413836,0.7516646],"study_design_scores_gemma":[0.00003551767,0.0001805572,0.3729469,0.0002481524,0.0001121056,0.006276094,0.001380246,0.0007572598,0.01083861,0.001649383,0.6055275,0.0000476204],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6227462,0.005551831,0.007019009,0.0003577117,0.0003199184,0.0002394131,0.003528418,0.0007951462,0.3594423],"genre_scores_gemma":[0.9313483,0.002686548,0.00462963,0.0002269986,0.00006560506,0.00009234748,0.003193901,0.0001105552,0.057646],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01024168,"threshold_uncertainty_score":0.03426188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02355035289681926,"score_gpt":0.2098605393887298,"score_spread":0.1863101864919106,"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."}}