{"id":"W6930729776","doi":"10.5281/zenodo.15296714","title":"Cliorismia Enderlein 1927","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal British Columbia Museum","funders":"","keywords":"Western europe; Fauna","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":[0.0003409603,0.0008249859,0.0004584145,0.002504266,0.00190397,0.0009641604,0.0009153071,0.001215542,0.009939163],"category_scores_gemma":[0.0009680847,0.0002472873,0.0002778815,0.00109363,0.0008569999,0.001217598,0.001500311,0.000873297,0.003136574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006924239,"about_ca_system_score_gemma":0.0006536009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00828905,"about_ca_topic_score_gemma":0.01218633,"domain_scores_codex":[0.9995744,0.00004328893,0.00004234764,0.0001468448,0.0001149498,0.0000781829],"domain_scores_gemma":[0.9995643,0.00009127951,0.000109318,0.00003435625,0.0001448968,0.00005586758],"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":[0.001378797,0.0003684887,0.06636161,0.001806194,0.00008802676,0.01208679,0.004600664,0.002354339,0.1011684,0.01148927,0.02850822,0.7697892],"study_design_scores_gemma":[0.0003220525,0.0009714402,0.1966352,0.001638843,0.0001665597,0.0209888,0.004069545,0.001596619,0.01300299,0.004388771,0.7560717,0.0001474426],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5050939,0.02598107,0.0131333,0.002467269,0.001595453,0.0008559782,0.003823547,0.0009520356,0.4460974],"genre_scores_gemma":[0.9580243,0.004353179,0.004378759,0.001058838,0.0003041553,0.0001745128,0.001818331,0.00004192824,0.02984595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009939163,"threshold_uncertainty_score":0.0332498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02791717414941081,"score_gpt":0.2855810839733421,"score_spread":0.2576639098239313,"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."}}