{"id":"W6893457571","doi":"10.5281/zenodo.16100909","title":"Diplocynodon ungeri Martin & Gross 2011","year":2025,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Skin and Cellular Biology Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Tyrrell Museum","funders":"","keywords":"Perspective (graphical); Natural (archaeology); Fragment (logic); Identification (biology)","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":[0.00009057504,0.0004102927,0.0003011936,0.0009442466,0.0007773897,0.0004651406,0.0002113388,0.0009280077,0.0087384],"category_scores_gemma":[0.0002459693,0.0002044825,0.0001533413,0.0005207624,0.0004774832,0.0003813073,0.0007594418,0.0004936092,0.002392567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005866846,"about_ca_system_score_gemma":0.0003076853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006212852,"about_ca_topic_score_gemma":0.01227057,"domain_scores_codex":[0.9998624,0.00001395808,0.000009200429,0.00004737134,0.00003626687,0.00003083744],"domain_scores_gemma":[0.99992,0.00001823339,0.00002161692,0.00001169964,0.00001135629,0.00001720284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002503337,0.0002165957,0.03239027,0.001296741,0.0000674994,0.01027697,0.002160091,0.000698858,0.5915583,0.008642119,0.0126267,0.3375625],"study_design_scores_gemma":[0.0001938433,0.001513655,0.4958254,0.0007403045,0.0002202278,0.03337048,0.003552587,0.0005068119,0.0637669,0.003331617,0.3968592,0.0001189415],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7678652,0.007251903,0.002854131,0.001142897,0.0005343576,0.0002360369,0.00258466,0.000154528,0.2173763],"genre_scores_gemma":[0.9608947,0.001854012,0.001981258,0.0004556099,0.00003108731,0.00004741799,0.000986913,0.00001415374,0.0337348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0087384,"threshold_uncertainty_score":0.02923286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01894107579447793,"score_gpt":0.2578872523401091,"score_spread":0.2389461765456311,"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."}}