{"id":"W6930632115","doi":"10.5281/zenodo.14443290","title":"Eurygarka aliciae","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cardiac Fibrosis and Remodeling","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Term (time); Loop (graph theory)","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":[0.0003397407,0.0008404444,0.0005716836,0.001468626,0.001851097,0.000667692,0.0008179721,0.000807574,0.02522649],"category_scores_gemma":[0.0004170935,0.0001858981,0.0002191466,0.001042653,0.0008792756,0.001180022,0.001222002,0.0006120101,0.004700009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007198159,"about_ca_system_score_gemma":0.000429024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007016392,"about_ca_topic_score_gemma":0.0140033,"domain_scores_codex":[0.9998079,0.00002147307,0.00001779075,0.00008032164,0.00003108629,0.00004149824],"domain_scores_gemma":[0.99992,0.00001068688,0.00003161921,0.0000123979,0.0000176069,0.000007718661],"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":[0.001473446,0.0002168185,0.03695752,0.002107654,0.000144094,0.004375591,0.007681047,0.0003094305,0.02886622,0.02016515,0.02845776,0.8692453],"study_design_scores_gemma":[0.000134455,0.0001967638,0.2756251,0.0007398855,0.0001900491,0.006780162,0.002480878,0.0001635173,0.001841537,0.003278201,0.7085288,0.0000406434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3776055,0.0452229,0.004866227,0.002325284,0.001139315,0.0006021687,0.004301407,0.0009281416,0.563009],"genre_scores_gemma":[0.9046963,0.01403454,0.00524387,0.001366219,0.0005772183,0.0003106625,0.003365126,0.000198434,0.07020766],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02522649,"threshold_uncertainty_score":0.08439106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03675331887056102,"score_gpt":0.2747822314415616,"score_spread":0.2380289125710006,"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."}}